Deleting matlab files

git-svn-id: http://webrtc.googlecode.com/svn/trunk@645 4adac7df-926f-26a2-2b94-8c16560cd09d
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turajs@google.com 2011-09-23 21:45:34 +00:00
parent 53439d9982
commit 610f478705
14 changed files with 0 additions and 1758 deletions

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function [emicrophone,aaa]=compsup(microphone,TheFarEnd,avtime,samplingfreq);
% microphone = microphone signal
% aaa = nonlinearity input variable
% TheFarEnd = far end signal
% avtime = interval to compute suppression from (seconds)
% samplingfreq = sampling frequency
%if(nargin==6)
% fprintf(1,'suppress has received a delay sequence\n');
%end
Ap500=[ 1.00, -4.95, 9.801, -9.70299, 4.80298005, -0.9509900499];
Bp500=[ 0.662743088639636, -2.5841655608125, 3.77668102146288, -2.45182477425154, 0.596566274575251, 0.0];
Ap200=[ 1.00, -4.875, 9.50625, -9.26859375, 4.518439453125, -0.881095693359375];
Bp200=[ 0.862545460994275, -3.2832804496114, 4.67892032308828, -2.95798023879133, 0.699796870041299, 0.0];
maxDelay=0.4; %[s]
histLen=1; %[s]
% CONSTANTS THAT YOU CAN EXPERIMENT WITH
A_GAIN=10.0; % for the suppress case
oversampling = 2; % must be power of 2; minimum is 2; 4 works
% fine for support=64, but for support=128,
% 8 gives better results.
support=64; %512 % fft support (frequency resolution; at low
% settings you can hear more distortion
% (e.g. pitch that is left-over from far-end))
% 128 works well, 64 is ok)
lowlevel = mean(abs(microphone))*0.0001;
G_ol = 0; % Use overlapping sets of estimates
% ECHO SUPPRESSION SPECIFIC PARAMETERS
suppress_overdrive=1.0; % overdrive factor for suppression 1.4 is good
gamma_echo=1.0; % same as suppress_overdrive but at different place
de_echo_bound=0.0;
mLim=10; % rank of matrix G
%limBW = 1; % use bandwidth-limited response for G
if mLim > (support/2+1)
error('mLim in suppress.m too large\n');
end
dynrange=1.0000e-004;
% other, constants
hsupport = support/2;
hsupport1 = hsupport+1;
factor = 2 / oversampling;
updatel = support/oversampling;
win=sqrt(designwindow(0,support));
estLen = round(avtime * samplingfreq/updatel)
runningfmean =0.0;
mLim = floor(hsupport1/2);
V = sqrt(2/hsupport1)*cos(pi/hsupport1*(repmat((0:hsupport1-1) + 0.5, mLim, 1).* ...
repmat((0:mLim-1)' + 0.5, 1, hsupport1)));
fprintf(1,'updatel is %5.3f s\n', updatel/samplingfreq);
bandfirst=8; bandlast=25;
dosmooth=0; % to get rid of wavy bin counts (can be worse or better)
% compute some constants
blockLen = support/oversampling;
maxDelayb = floor(samplingfreq*maxDelay/updatel); % in blocks
histLenb = floor(samplingfreq*histLen/updatel); % in blocks
x0=TheFarEnd;
y0=microphone;
%input
tlength=min([length(microphone),length(TheFarEnd)]);
updateno=floor(tlength/updatel);
tlength=updatel*updateno;
updateno = updateno - oversampling + 1;
TheFarEnd =TheFarEnd(1:tlength);
microphone =microphone(1:tlength);
TheFarEnd =[zeros(hsupport,1);TheFarEnd(1:tlength)];
microphone =[zeros(hsupport,1);microphone(1:tlength)];
% signal length
n = min([floor(length(x0)/support)*support,floor(length(y0)/support)*support]);
nb = n/blockLen - oversampling + 1; % in blocks
% initialize space
win = sqrt([0 ; hanning(support-1)]);
sxAll2 = zeros(hsupport1,nb);
syAll2 = zeros(hsupport1,nb);
z500=zeros(5,maxDelayb+1);
z200=zeros(5,hsupport1);
bxspectrum=uint32(zeros(nb,1));
bxhist=uint32(zeros(maxDelayb+1,1));
byspectrum=uint32(zeros(nb,1));
bcount=zeros(1+maxDelayb,nb);
fcount=zeros(1+maxDelayb,nb);
fout=zeros(1+maxDelayb,nb);
delay=zeros(nb,1);
tdelay=zeros(nb,1);
nlgains=zeros(nb,1);
% create space (mainly for debugging)
emicrophone=zeros(tlength,1);
femicrophone=complex(zeros(hsupport1,updateno));
thefilter=zeros(hsupport1,updateno);
thelimiter=ones(hsupport1,updateno);
fTheFarEnd=complex(zeros(hsupport1,updateno));
afTheFarEnd=zeros(hsupport1,updateno);
fmicrophone=complex(zeros(hsupport1,updateno));
afmicrophone=zeros(hsupport1,updateno);
G = zeros(hsupport1, hsupport1);
zerovec = zeros(hsupport1,1);
zeromat = zeros(hsupport1);
% Reset sums
mmxs_a = zerovec;
mmys_a = zerovec;
s2xs_a = zerovec;
s2ys_a = zerovec;
Rxxs_a = zeromat;
Ryxs_a = zeromat;
count_a = 1;
mmxs_b = zerovec;
mmys_b = zerovec;
s2xs_b = zerovec;
s2ys_b = zerovec;
Rxxs_b = zeromat;
Ryxs_b = zeromat;
count_b = 1;
nog=0;
aaa=zeros(size(TheFarEnd));
% loop over signal blocks
fprintf(1,'.. Suppression; averaging G over %5.1f seconds; file length %5.1f seconds ..\n',avtime, length(microphone)/samplingfreq);
fprintf(1,'.. SUPPRESSING ONLY AFTER %5.1f SECONDS! ..\n',avtime);
fprintf(1,'.. 20 seconds is good ..\n');
hh = waitbar_j(0,'Please wait...');
for i=1:updateno
sb = (i-1)*updatel + 1;
se=sb+support-1;
% analysis FFTs
temp=fft(win .* TheFarEnd(sb:se));
fTheFarEnd(:,i)=temp(1:hsupport1);
xf=fTheFarEnd(:,i);
afTheFarEnd(:,i)= abs(fTheFarEnd(:,i));
temp=win .* microphone(sb:se);
temp=fft(win .* microphone(sb:se));
fmicrophone(:,i)=temp(1:hsupport1);
yf=fmicrophone(:,i);
afmicrophone(:,i)= abs(fmicrophone(:,i));
ener_orig = afmicrophone(:,i)'*afmicrophone(:,i);
if( ener_orig == 0)
afmicrophone(:,i)=lowlevel*ones(size(afmicrophone(:,i)));
end
% use log domain (showed improved performance)
xxf= sqrt(real(xf.*conj(xf))+1e-20);
yyf= sqrt(real(yf.*conj(yf))+1e-20);
sxAll2(:,i) = 20*log10(xxf);
syAll2(:,i) = 20*log10(yyf);
mD=min(i-1,maxDelayb);
xthreshold = sum(sxAll2(:,i-mD:i),2)/(maxDelayb+1);
[yout, z200] = filter(Bp200,Ap200,syAll2(:,i),z200,2);
yout=yout/(maxDelayb+1);
ythreshold = mean(syAll2(:,i-mD:i),2);
bxspectrum(i)=getBspectrum(sxAll2(:,i),xthreshold,bandfirst,bandlast);
byspectrum(i)=getBspectrum(syAll2(:,i),yout,bandfirst,bandlast);
bxhist(end-mD:end)=bxspectrum(i-mD:i);
bcount(:,i)=hisser2( ...
byspectrum(i),flipud(bxhist),bandfirst,bandlast);
[fout(:,i), z500] = filter(Bp500,Ap500,bcount(:,i),z500,2);
fcount(:,i)=sum(bcount(:,max(1,i-histLenb+1):i),2); % using the history range
fout(:,i)=round(fout(:,i));
[value,delay(i)]=min(fout(:,i),[],1);
tdelay(i)=(delay(i)-1)*support/(samplingfreq*oversampling);
% compensate
idel = max(i - delay(i) + 1,1);
% echo suppression
noisyspec = afmicrophone(:,i);
% Estimate G using covariance matrices
% Cumulative estimates
xx = afTheFarEnd(:,idel);
yy = afmicrophone(:,i);
% Means
mmxs_a = mmxs_a + xx;
mmys_a = mmys_a + yy;
if (G_ol)
mmxs_b = mmxs_b + xx;
mmys_b = mmys_b + yy;
mmy = mean([mmys_a/count_a mmys_b/count_b],2);
mmx = mean([mmxs_a/count_a mmxs_b/count_b],2);
else
mmx = mmxs_a/count_a;
mmy = mmys_a/count_a;
end
count_a = count_a + 1;
count_b = count_b + 1;
% Mean removal
xxm = xx - mmx;
yym = yy - mmy;
% Variances
s2xs_a = s2xs_a + xxm .* xxm;
s2ys_a = s2ys_a + yym .* yym;
s2xs_b = s2xs_b + xxm .* xxm;
s2ys_b = s2ys_b + yym .* yym;
% Correlation matrices
Rxxs_a = Rxxs_a + xxm * xxm';
Ryxs_a = Ryxs_a + yym * xxm';
Rxxs_b = Rxxs_b + xxm * xxm';
Ryxs_b = Ryxs_b + yym * xxm';
% Gain matrix A
if mod(i, estLen) == 0
% Cumulative based estimates
Rxxf = Rxxs_a / (estLen - 1);
Ryxf = Ryxs_a / (estLen - 1);
% Variance normalization
s2x2 = s2xs_a / (estLen - 1);
s2x2 = sqrt(s2x2);
% Sx = diag(max(s2x2,dynrange*max(s2x2)));
Sx = diag(s2x2);
if (sum(s2x2) > 0)
iSx = inv(Sx);
else
iSx= Sx + 0.01;
end
s2y2 = s2ys_a / (estLen - 1);
s2y2 = sqrt(s2y2);
% Sy = diag(max(s2y2,dynrange*max(s2y2)));
Sy = diag(s2y2);
iSy = inv(Sy);
rx = iSx * Rxxf * iSx;
ryx = iSy * Ryxf * iSx;
dbd= 7; % Us less than the full matrix
% k x m
% Bandlimited structure on G
LSEon = 0; % Default is using MMSE
if (LSEon)
ryx = ryx*rx;
rx = rx*rx;
end
p = dbd-1;
gaj = min(min(hsupport1,2*p+1),min([p+(1:hsupport1); hsupport1+p+1-(1:hsupport1)]));
cgaj = [0 cumsum(gaj)];
G3 = zeros(hsupport1);
for kk=1:hsupport1
ki = max(0,kk-p-1);
if (sum(sum(rx(ki+1:ki+gaj(kk),ki+1:ki+gaj(kk))))>0)
G3(kk,ki+1:ki+gaj(kk)) = ryx(kk,ki+1:ki+gaj(kk))/rx(ki+1:ki+gaj(kk),ki+1:ki+gaj(kk));
else
G3(kk,ki+1:ki+gaj(kk)) = ryx(kk,ki+1:ki+gaj(kk));
end
end
% End Bandlimited structure
G = G3;
G(abs(G)<0.01)=0;
G = suppress_overdrive * Sy * G * iSx;
if 1
figure(32); mi=2;
surf(max(min(G,mi),-mi)); view(2)
title('Unscaled Masked Limited-bandwidth G');
end
pause(0.05);
% Reset sums
mmxs_a = zerovec;
mmys_a = zerovec;
s2xs_a = zerovec;
s2ys_a = zerovec;
Rxxs_a = zeromat;
Ryxs_a = zeromat;
count_a = 1;
end
if (G_ol)
% Gain matrix B
if ((mod((i-estLen/2), estLen) == 0) & i>estLen)
% Cumulative based estimates
Rxxf = Rxxs_b / (estLen - 1);
Ryxf = Ryxs_b / (estLen - 1);
% Variance normalization
s2x2 = s2xs_b / (estLen - 1);
s2x2 = sqrt(s2x2);
Sx = diag(max(s2x2,dynrange*max(s2x2)));
iSx = inv(Sx);
s2y2 = s2ys_b / (estLen - 1);
s2y2 = sqrt(s2y2);
Sy = diag(max(s2y2,dynrange*max(s2y2)));
iSy = inv(Sy);
rx = iSx * Rxxf * iSx;
ryx = iSy * Ryxf * iSx;
% Bandlimited structure on G
LSEon = 0; % Default is using MMSE
if (LSEon)
ryx = ryx*rx;
rx = rx*rx;
end
p = dbd-1;
gaj = min(min(hsupport1,2*p+1),min([p+(1:hsupport1); hsupport1+p+1-(1:hsupport1)]));
cgaj = [0 cumsum(gaj)];
G3 = zeros(hsupport1);
for kk=1:hsupport1
ki = max(0,kk-p-1);
G3(kk,ki+1:ki+gaj(kk)) = ryx(kk,ki+1:ki+gaj(kk))/rx(ki+1:ki+gaj(kk),ki+1:ki+gaj(kk));
end
% End Bandlimited structure
G = G3;
G(abs(G)<0.01)=0;
G = suppress_overdrive * Sy * G * iSx;
if 1
figure(32); mi=2;
surf(max(min(G,mi),-mi)); view(2)
title('Unscaled Masked Limited-bandwidth G');
end
pause(0.05);
% Reset sums
mmxs_b = zerovec;
mmys_b = zerovec;
s2xs_b = zerovec;
s2ys_b = zerovec;
Rxxs_b = zeromat;
Ryxs_b = zeromat;
count_b = 1;
end
end
FECestimate2 = G*afTheFarEnd(:,idel);
% compute Wiener filter and suppressor function
thefilter(:,i) = (noisyspec - gamma_echo*FECestimate2) ./ noisyspec;
ix0 = find(thefilter(:,i)<de_echo_bound); % bounding trick 1
thefilter(ix0,i) = de_echo_bound; % bounding trick 2
ix0 = find(thefilter(:,i)>1); % bounding in reasonable range
thefilter(ix0,i) = 1;
% NONLINEARITY
nl_alpha=0.8; % memory; seems not very critical
nlSeverity=0.3; % nonlinearity severity: 0 does nothing; 1 suppresses all
thefmean=mean(thefilter(8:16,i));
if (thefmean<1)
disp('');
end
runningfmean = nl_alpha*runningfmean + (1-nl_alpha)*thefmean;
aaa(sb+20+1:sb+20+updatel)=10000*runningfmean* ones(updatel,1); % debug
slope0=1.0/(1.0-nlSeverity); %
thegain = max(0.0,min(1.0,slope0*(runningfmean-nlSeverity)));
% END NONLINEARITY
thefilter(:,i) = thegain*thefilter(:,i);
% Wiener filtering
femicrophone(:,i) = fmicrophone(:,i) .* thefilter(:,i);
thelimiter(:,i) = (noisyspec - A_GAIN*FECestimate2) ./ noisyspec;
index = find(thelimiter(:,i)>1.0);
thelimiter(index,i) = 1.0;
index = find(thelimiter(:,i)<0.0);
thelimiter(index,i) = 0.0;
if (rem(i,floor(updateno/20))==0)
fprintf(1,'.');
end
if mod(i,50)==0
waitbar_j(i/updateno,hh);
end
% reconstruction; first make spectrum odd
temp=[femicrophone(:,i);flipud(conj(femicrophone(2:hsupport,i)))];
emicrophone(sb:se) = emicrophone(sb:se) + factor * win .* real(ifft(temp));
end
fprintf(1,'\n');
close(hh);

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function bcount=hisser2(bs,bsr,bandfirst,bandlast)
% function bcount=hisser(bspectrum,bandfirst,bandlast)
% histogram for the binary spectra
% bcount= array of bit counts
% bs=binary spectrum (one int32 number each)
% bsr=reference binary spectra (one int32 number each)
% blockSize = histogram over blocksize blocks
% bandfirst = first band considered
% bandlast = last band considered
% weight all delays equally
maxDelay = length(bsr);
% compute counts (two methods; the first works better and is operational)
bcount=zeros(maxDelay,1);
for(i=1:maxDelay)
% the delay should have low count for low-near&high-far and high-near&low-far
bcount(i)= sum(bitget(bitxor(bs,bsr(i)),bandfirst:bandlast));
% the delay should have low count for low-near&high-far (works less well)
% bcount(i)= sum(bitget(bitand(bsr(i),bitxor(bs,bsr(i))),bandfirst:bandlast));
end

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fid=fopen('aecfar.pcm'); far=fread(fid,'short'); fclose(fid);
fid=fopen('aecnear.pcm'); mic=fread(fid,'short'); fclose(fid);
%fid=fopen('QA1far.pcm'); far=fread(fid,'short'); fclose(fid);
%fid=fopen('QA1near.pcm'); mic=fread(fid,'short'); fclose(fid);
start=0 * 8000+1;
stop= 30 * 8000;
microphone=mic(start:stop);
TheFarEnd=far(start:stop);
avtime=1;
% 16000 to make it compatible with the C-version
[emicrophone,tdel]=compsup(microphone,TheFarEnd,avtime,16000);
spclab(8000,TheFarEnd,microphone,emicrophone);

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function [femicrophone, aecmStructNew, enerNear, enerFar] = AECMobile(fmicrophone, afTheFarEnd, setupStruct, aecmStruct)
global NEARENDFFT;
global F;
aecmStructNew = aecmStruct;
% Magnitude spectrum of near end signal
afmicrophone = abs(fmicrophone);
%afmicrophone = NEARENDFFT(setupStruct.currentBlock,:)'/2^F(setupStruct.currentBlock,end);
% Near end energy level
ener_orig = afmicrophone'*afmicrophone;
if( ener_orig == 0)
lowlevel = 0.01;
afmicrophone = lowlevel*ones(size(afmicrophone));
end
%adiff = max(abs(afmicrophone - afTheFarEnd));
%if (adiff > 0)
% disp([setupStruct.currentBlock adiff])
%end
% Store the near end energy
%aecmStructNew.enerNear(setupStruct.currentBlock) = log(afmicrophone'*afmicrophone);
aecmStructNew.enerNear(setupStruct.currentBlock) = log(sum(afmicrophone));
% Store the far end energy
%aecmStructNew.enerFar(setupStruct.currentBlock) = log(afTheFarEnd'*afTheFarEnd);
aecmStructNew.enerFar(setupStruct.currentBlock) = log(sum(afTheFarEnd));
% Update subbands (We currently use all frequency bins, hence .useSubBand is turned off)
if aecmStructNew.useSubBand
internalIndex = 1;
for kk=1:setupStruct.subBandLength+1
ySubBand(kk) = mean(afmicrophone(internalIndex:internalIndex+setupStruct.numInBand(kk)-1).^aecmStructNew.bandFactor);
xSubBand(kk) = mean(afTheFarEnd(internalIndex:internalIndex+setupStruct.numInBand(kk)-1).^aecmStructNew.bandFactor);
internalIndex = internalIndex + setupStruct.numInBand(kk);
end
else
ySubBand = afmicrophone.^aecmStructNew.bandFactor;
xSubBand = afTheFarEnd.^aecmStructNew.bandFactor;
end
% Estimated echo energy
if (aecmStructNew.bandFactor == 1)
%aecmStructNew.enerEcho(setupStruct.currentBlock) = log((aecmStructNew.H.*xSubBand)'*(aecmStructNew.H.*xSubBand));
%aecmStructNew.enerEchoStored(setupStruct.currentBlock) = log((aecmStructNew.HStored.*xSubBand)'*(aecmStructNew.HStored.*xSubBand));
aecmStructNew.enerEcho(setupStruct.currentBlock) = log(sum(aecmStructNew.H.*xSubBand));
aecmStructNew.enerEchoStored(setupStruct.currentBlock) = log(sum(aecmStructNew.HStored.*xSubBand));
elseif (aecmStructNew.bandFactor == 2)
aecmStructNew.enerEcho(setupStruct.currentBlock) = log(aecmStructNew.H'*xSubBand);
aecmStructNew.enerEchoStored(setupStruct.currentBlock) = log(aecmStructNew.HStored'*xSubBand);
end
% Last 100 blocks of data, used for plotting
n100 = max(1,setupStruct.currentBlock-99):setupStruct.currentBlock;
enerError = aecmStructNew.enerNear(n100)-aecmStructNew.enerEcho(n100);
enerErrorStored = aecmStructNew.enerNear(n100)-aecmStructNew.enerEchoStored(n100);
% Store the far end sub band. This is needed if we use LSE instead of NLMS
aecmStructNew.X = [xSubBand aecmStructNew.X(:,1:end-1)];
% Update energy levels, which control the VAD
if ((aecmStructNew.enerFar(setupStruct.currentBlock) < aecmStructNew.energyMin) & (aecmStructNew.enerFar(setupStruct.currentBlock) >= aecmStruct.FAR_ENERGY_MIN))
aecmStructNew.energyMin = aecmStructNew.enerFar(setupStruct.currentBlock);
%aecmStructNew.energyMin = max(aecmStructNew.energyMin,12);
aecmStructNew.energyMin = max(aecmStructNew.energyMin,aecmStruct.FAR_ENERGY_MIN);
aecmStructNew.energyLevel = (aecmStructNew.energyMax-aecmStructNew.energyMin)*aecmStructNew.energyThres+aecmStructNew.energyMin;
aecmStructNew.energyLevelMSE = (aecmStructNew.energyMax-aecmStructNew.energyMin)*aecmStructNew.energyThresMSE+aecmStructNew.energyMin;
end
if (aecmStructNew.enerFar(setupStruct.currentBlock) > aecmStructNew.energyMax)
aecmStructNew.energyMax = aecmStructNew.enerFar(setupStruct.currentBlock);
aecmStructNew.energyLevel = (aecmStructNew.energyMax-aecmStructNew.energyMin)*aecmStructNew.energyThres+aecmStructNew.energyMin;
aecmStructNew.energyLevelMSE = (aecmStructNew.energyMax-aecmStructNew.energyMin)*aecmStructNew.energyThresMSE+aecmStructNew.energyMin;
end
% Calculate current energy error in near end (estimated echo vs. near end)
dE = aecmStructNew.enerNear(setupStruct.currentBlock)-aecmStructNew.enerEcho(setupStruct.currentBlock);
%%%%%%%%
% Calculate step size used in LMS algorithm, based on current far end energy and near end energy error (dE)
%%%%%%%%
if setupStruct.stepSize_flag
[mu, aecmStructNew] = calcStepSize(aecmStructNew.enerFar(setupStruct.currentBlock), dE, aecmStructNew, setupStruct.currentBlock, 1);
else
mu = 0.25;
end
aecmStructNew.muLog(setupStruct.currentBlock) = mu; % Store the step size
% Estimate Echo Spectral Shape
[U, aecmStructNew.H] = fallerEstimator(ySubBand,aecmStructNew.X,aecmStructNew.H,mu);
%%%%%
% Determine if we should store or restore the channel
%%%%%
if ((setupStruct.currentBlock <= aecmStructNew.convLength) | (~setupStruct.channelUpdate_flag))
aecmStructNew.HStored = aecmStructNew.H; % Store what you have after startup
elseif ((setupStruct.currentBlock > aecmStructNew.convLength) & (setupStruct.channelUpdate_flag))
if ((aecmStructNew.enerFar(setupStruct.currentBlock) < aecmStructNew.energyLevelMSE) & (aecmStructNew.enerFar(setupStruct.currentBlock-1) >= aecmStructNew.energyLevelMSE))
xxx = aecmStructNew.countMseH;
if (xxx > 20)
mseStored = mean(abs(aecmStructNew.enerEchoStored(setupStruct.currentBlock-xxx:setupStruct.currentBlock-1)-aecmStructNew.enerNear(setupStruct.currentBlock-xxx:setupStruct.currentBlock-1)));
mseLatest = mean(abs(aecmStructNew.enerEcho(setupStruct.currentBlock-xxx:setupStruct.currentBlock-1)-aecmStructNew.enerNear(setupStruct.currentBlock-xxx:setupStruct.currentBlock-1)));
%fprintf('Stored: %4f Latest: %4f\n', mseStored, mseLatest) % Uncomment if you want to display the MSE values
if ((mseStored < 0.8*mseLatest) & (aecmStructNew.mseHStoredOld < 0.8*aecmStructNew.mseHLatestOld))
aecmStructNew.H = aecmStructNew.HStored;
fprintf('Restored H at block %d\n',setupStruct.currentBlock)
elseif (((0.8*mseStored > mseLatest) & (mseLatest < aecmStructNew.mseHThreshold) & (aecmStructNew.mseHLatestOld < aecmStructNew.mseHThreshold)) | (mseStored == Inf))
aecmStructNew.HStored = aecmStructNew.H;
fprintf('Stored new H at block %d\n',setupStruct.currentBlock)
end
aecmStructNew.mseHStoredOld = mseStored;
aecmStructNew.mseHLatestOld = mseLatest;
end
elseif ((aecmStructNew.enerFar(setupStruct.currentBlock) >= aecmStructNew.energyLevelMSE) & (aecmStructNew.enerFar(setupStruct.currentBlock-1) < aecmStructNew.energyLevelMSE))
aecmStructNew.countMseH = 1;
elseif (aecmStructNew.enerFar(setupStruct.currentBlock) >= aecmStructNew.energyLevelMSE)
aecmStructNew.countMseH = aecmStructNew.countMseH + 1;
end
end
%%%%%
% Check delay (calculate the delay offset (if we can))
% The algorithm is not tuned and should be used with care. It runs separately from Bastiaan's algorithm.
%%%%%
yyy = 31; % Correlation buffer length (currently unfortunately hard coded)
dxxx = 25; % Maximum offset (currently unfortunately hard coded)
if (setupStruct.currentBlock > aecmStructNew.convLength)
if (aecmStructNew.enerFar(setupStruct.currentBlock-(yyy+2*dxxx-1):setupStruct.currentBlock) > aecmStructNew.energyLevelMSE)
for xxx = -dxxx:dxxx
aecmStructNew.delayLatestS(xxx+dxxx+1) = sum(sign(aecmStructNew.enerEcho(setupStruct.currentBlock-(yyy+dxxx-xxx)+1:setupStruct.currentBlock+xxx-dxxx)-mean(aecmStructNew.enerEcho(setupStruct.currentBlock-(yyy++dxxx-xxx)+1:setupStruct.currentBlock+xxx-dxxx))).*sign(aecmStructNew.enerNear(setupStruct.currentBlock-yyy-dxxx+1:setupStruct.currentBlock-dxxx)-mean(aecmStructNew.enerNear(setupStruct.currentBlock-yyy-dxxx+1:setupStruct.currentBlock-dxxx))));
end
aecmStructNew.newDelayCurve = 1;
end
end
if ((setupStruct.currentBlock > 2*aecmStructNew.convLength) & ~rem(setupStruct.currentBlock,yyy*2) & aecmStructNew.newDelayCurve)
[maxV,maxP] = max(aecmStructNew.delayLatestS);
if ((maxP > 2) & (maxP < 2*dxxx))
maxVLeft = aecmStructNew.delayLatestS(max(1,maxP-4));
maxVRight = aecmStructNew.delayLatestS(min(2*dxxx+1,maxP+4));
%fprintf('Max %d, Left %d, Right %d\n',maxV,maxVLeft,maxVRight) % Uncomment if you want to see max value
if ((maxV > 24) & (maxVLeft < maxV - 10) & (maxVRight < maxV - 10))
aecmStructNew.feedbackDelay = maxP-dxxx-1;
aecmStructNew.newDelayCurve = 0;
aecmStructNew.feedbackDelayUpdate = 1;
fprintf('Feedback Update at block %d\n',setupStruct.currentBlock)
end
end
end
% End of "Check delay"
%%%%%%%%
%%%%%
% Calculate suppression gain, based on far end energy and near end energy error (dE)
if (setupStruct.supGain_flag)
[gamma_echo, aecmStructNew.cntIn, aecmStructNew.cntOut] = calcFilterGain(aecmStructNew.enerFar(setupStruct.currentBlock), dE, aecmStructNew, setupStruct.currentBlock, aecmStructNew.convLength, aecmStructNew.cntIn, aecmStructNew.cntOut);
else
gamma_echo = 1;
end
aecmStructNew.gammaLog(setupStruct.currentBlock) = gamma_echo; % Store the gain
gamma_use = gamma_echo;
% Use the stored channel
U = aecmStructNew.HStored.*xSubBand;
% compute Wiener filter and suppressor function
Iy = find(ySubBand);
subBandFilter = zeros(size(ySubBand));
if (aecmStructNew.bandFactor == 2)
subBandFilter(Iy) = (1 - gamma_use*sqrt(U(Iy)./ySubBand(Iy))); % For Faller
else
subBandFilter(Iy) = (1 - gamma_use*(U(Iy)./ySubBand(Iy))); % For COV
end
ix0 = find(subBandFilter < 0); % bounding trick 1
subBandFilter(ix0) = 0;
ix0 = find(subBandFilter > 1); % bounding trick 1
subBandFilter(ix0) = 1;
% Interpolate back to normal frequency bins if we use sub bands
if aecmStructNew.useSubBand
thefilter = interp1(setupStruct.centerFreq,subBandFilter,linspace(0,setupStruct.samplingfreq/2,setupStruct.hsupport1)','nearest');
testfilter = interp1(setupStruct.centerFreq,subBandFilter,linspace(0,setupStruct.samplingfreq/2,1000),'nearest');
thefilter(end) = subBandFilter(end);
internalIndex = 1;
for kk=1:setupStruct.subBandLength+1
internalIndex:internalIndex+setupStruct.numInBand(kk)-1;
thefilter(internalIndex:internalIndex+setupStruct.numInBand(kk)-1) = subBandFilter(kk);
internalIndex = internalIndex + setupStruct.numInBand(kk);
end
else
thefilter = subBandFilter;
testfilter = subBandFilter;
end
% Bound the filter
ix0 = find(thefilter < setupStruct.de_echo_bound); % bounding trick 1
thefilter(ix0) = setupStruct.de_echo_bound; % bounding trick 2
ix0 = find(thefilter > 1); % bounding in reasonable range
thefilter(ix0) = 1;
%%%%
% NLP
%%%%
thefmean = mean(thefilter(8:16));
if (thefmean < 1)
disp('');
end
aecmStructNew.runningfmean = setupStruct.nl_alpha*aecmStructNew.runningfmean + (1-setupStruct.nl_alpha)*thefmean;
slope0 = 1.0/(1.0 - setupStruct.nlSeverity); %
thegain = max(0.0, min(1.0, slope0*(aecmStructNew.runningfmean - setupStruct.nlSeverity)));
if ~setupStruct.nlp_flag
thegain = 1;
end
% END NONLINEARITY
thefilter = thegain*thefilter;
%%%%
% The suppression
%%%%
femicrophone = fmicrophone .* thefilter;
% Store the output energy (used for plotting)
%aecmStructNew.enerOut(setupStruct.currentBlock) = log(abs(femicrophone)'*abs(femicrophone));
aecmStructNew.enerOut(setupStruct.currentBlock) = log(sum(abs(femicrophone)));
if aecmStructNew.plotIt
figure(13)
subplot(311)
%plot(n100,enerFar(n100),'b-',n100,enerNear(n100),'k--',n100,enerEcho(n100),'r-',[n100(1) n100(end)],[1 1]*vadThNew,'b:',[n100(1) n100(end)],[1 1]*((energyMax-energyMin)/4+energyMin),'r-.',[n100(1) n100(end)],[1 1]*vadNearThNew,'g:',[n100(1) n100(end)],[1 1]*energyMax,'r-.',[n100(1) n100(end)],[1 1]*energyMin,'r-.','LineWidth',2)
plot(n100,aecmStructNew.enerFar(n100),'b-',n100,aecmStructNew.enerNear(n100),'k--',n100,aecmStructNew.enerOut(n100),'r-.',n100,aecmStructNew.enerEcho(n100),'r-',n100,aecmStructNew.enerEchoStored(n100),'c-',[n100(1) n100(end)],[1 1]*((aecmStructNew.energyMax-aecmStructNew.energyMin)/4+aecmStructNew.energyMin),'g-.',[n100(1) n100(end)],[1 1]*aecmStructNew.energyMax,'g-.',[n100(1) n100(end)],[1 1]*aecmStructNew.energyMin,'g-.','LineWidth',2)
%title(['Frame ',int2str(i),' av ',int2str(setupStruct.updateno),' State = ',int2str(speechState),' \mu = ',num2str(mu)])
title(['\gamma = ',num2str(gamma_echo),' \mu = ',num2str(mu)])
subplot(312)
%plot(n100,enerError,'b-',[n100(1) n100(end)],[1 1]*vadNearTh,'r:',[n100(1) n100(end)],[-1.5 -1.5]*vadNearTh,'r:','LineWidth',2)
%plot(n100,enerError,'b-',[n100(1) n100(end)],[1 1],'r:',[n100(1) n100(end)],[-2 -2],'r:','LineWidth',2)
plot(n100,enerError,'b-',n100,enerErrorStored,'c-',[n100(1) n100(end)],[1 1]*aecmStructNew.varMean,'k--',[n100(1) n100(end)],[1 1],'r:',[n100(1) n100(end)],[-2 -2],'r:','LineWidth',2)
% Plot mu
%plot(n100,log2(aecmStructNew.muLog(n100)),'b-','LineWidth',2)
%plot(n100,log2(aecmStructNew.HGain(n100)),'b-',[n100(1) n100(end)],[1 1]*log2(sum(aecmStructNew.HStored)),'r:','LineWidth',2)
title(['Block ',int2str(setupStruct.currentBlock),' av ',int2str(setupStruct.updateno)])
subplot(313)
%plot(n100,enerVar(n100),'b-',[n100(1) n100(end)],[1 1],'r:',[n100(1) n100(end)],[-2 -2],'r:','LineWidth',2)
%plot(n100,enerVar(n100),'b-','LineWidth',2)
% Plot correlation curve
%plot(-25:25,aecmStructNew.delayStored/max(aecmStructNew.delayStored),'c-',-25:25,aecmStructNew.delayLatest/max(aecmStructNew.delayLatest),'r-',-25:25,(max(aecmStructNew.delayStoredS)-aecmStructNew.delayStoredS)/(max(aecmStructNew.delayStoredS)-min(aecmStructNew.delayStoredS)),'c:',-25:25,(max(aecmStructNew.delayLatestS)-aecmStructNew.delayLatestS)/(max(aecmStructNew.delayLatestS)-min(aecmStructNew.delayLatestS)),'r:','LineWidth',2)
%plot(-25:25,aecmStructNew.delayStored,'c-',-25:25,aecmStructNew.delayLatest,'r-',-25:25,(max(aecmStructNew.delayStoredS)-aecmStructNew.delayStoredS)/(max(aecmStructNew.delayStoredS)-min(aecmStructNew.delayStoredS)),'c:',-25:25,(max(aecmStructNew.delayLatestS)-aecmStructNew.delayLatestS)/(max(aecmStructNew.delayLatestS)-min(aecmStructNew.delayLatestS)),'r:','LineWidth',2)
%plot(-25:25,aecmStructNew.delayLatest,'r-',-25:25,(50-aecmStructNew.delayLatestS)/100,'r:','LineWidth',2)
plot(-25:25,aecmStructNew.delayLatestS,'r:','LineWidth',2)
%plot(-25:25,aecmStructNew.delayStored,'c-',-25:25,aecmStructNew.delayLatest,'r-','LineWidth',2)
plot(0:32,aecmStruct.HStored,'bo-','LineWidth',2)
%title(['\gamma | In = ',int2str(aecmStructNew.muStruct.countInInterval),' | Out High = ',int2str(aecmStructNew.muStruct.countOutHighInterval),' | Out Low = ',int2str(aecmStructNew.muStruct.countOutLowInterval)])
pause(1)
%if ((setupStruct.currentBlock == 860) | (setupStruct.currentBlock == 420) | (setupStruct.currentBlock == 960))
if 0%(setupStruct.currentBlock == 960)
figure(60)
plot(n100,aecmStructNew.enerNear(n100),'k--',n100,aecmStructNew.enerEcho(n100),'k:','LineWidth',2)
legend('Near End','Estimated Echo')
title('Signal Energy witH offset compensation')
figure(61)
subplot(211)
stem(sign(aecmStructNew.enerNear(n100)-mean(aecmStructNew.enerNear(n100))))
title('Near End Energy Pattern (around mean value)')
subplot(212)
stem(sign(aecmStructNew.enerEcho(n100)-mean(aecmStructNew.enerEcho(n100))))
title('Estimated Echo Energy Pattern (around mean value)')
pause
end
drawnow%,pause
elseif ~rem(setupStruct.currentBlock,100)
fprintf('Block %d of %d\n',setupStruct.currentBlock,setupStruct.updateno)
end

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@ -1,98 +0,0 @@
function [delayStructNew] = align(xf, yf, delayStruct, i, trueDelay);
%%%%%%%
% Bastiaan's algorithm copied
%%%%%%%
Ap500 = [1.00, -4.95, 9.801, -9.70299, 4.80298005, -0.9509900499];
Bp500 = [0.662743088639636, -2.5841655608125, 3.77668102146288, -2.45182477425154, 0.596566274575251, 0.0];
Ap200 = [1.00, -4.875, 9.50625, -9.26859375, 4.518439453125, -0.881095693359375];
Bp200 = [0.862545460994275, -3.2832804496114, 4.67892032308828, -2.95798023879133, 0.699796870041299, 0.0];
oldMethod = 1; % Turn on or off the old method. The new one is Bastiaan's August 2008 updates
THReSHoLD = 2.0; % ADJUSTABLE threshold factor; 4.0 seems good
%%%%%%%%%%%%%%%%%%%
% use log domain (showed improved performance)
xxf = sqrt(real(xf.*conj(xf))+1e-20);
yyf = sqrt(real(yf.*conj(yf))+1e-20);
delayStruct.sxAll2(:,i) = 20*log10(xxf);
delayStruct.syAll2(:,i) = 20*log10(yyf);
mD = min(i-1,delayStruct.maxDelayb);
if oldMethod
factor = 1.0;
histLenb = 250;
xthreshold = factor*median(delayStruct.sxAll2(:,i-mD:i),2);
ythreshold = factor*median(delayStruct.syAll2(:,i-mD:i),2);
else
xthreshold = sum(delayStruct.sxAll2(:,i-mD:i),2)/(delayStruct.maxDelayb+1);
[yout, delayStruct.z200] = filter(Bp200, Ap200, delayStruct.syAll2(:,i), delayStruct.z200, 2);
yout = yout/(delayStruct.maxDelayb+1);
ythreshold = mean(delayStruct.syAll2(:,i-mD:i),2);
ythreshold = yout;
end
delayStruct.bxspectrum(i) = getBspectrum(delayStruct.sxAll2(:,i), xthreshold, delayStruct.bandfirst, delayStruct.bandlast);
delayStruct.byspectrum(i) = getBspectrum(delayStruct.syAll2(:,i), ythreshold, delayStruct.bandfirst, delayStruct.bandlast);
delayStruct.bxhist(end-mD:end) = delayStruct.bxspectrum(i-mD:i);
delayStruct.bcount(:,i) = hisser2(delayStruct.byspectrum(i), flipud(delayStruct.bxhist), delayStruct.bandfirst, delayStruct.bandlast);
[delayStruct.fout(:,i), delayStruct.z500] = filter(Bp500, Ap500, delayStruct.bcount(:,i), delayStruct.z500, 2);
if oldMethod
%delayStruct.new(:,i) = sum(delayStruct.bcount(:,max(1,i-histLenb+1):i),2); % using the history range
tmpVec = [delayStruct.fout(1,i)*ones(2,1); delayStruct.fout(:,i); delayStruct.fout(end,i)*ones(2,1)]; % using the history range
tmpVec = filter(ones(1,5), 1, tmpVec);
delayStruct.new(:,i) = tmpVec(5:end);
%delayStruct.new(:,i) = delayStruct.fout(:,i); % using the history range
else
[delayStruct.fout(:,i), delayStruct.z500] = filter(Bp500, Ap500, delayStruct.bcount(:,i), delayStruct.z500, 2);
% NEW CODE
delayStruct.new(:,i) = filter([-1,-2,1,4,1,-2,-1], 1, delayStruct.fout(:,i)); %remv smth component
delayStruct.new(1:end-3,i) = delayStruct.new(1+3:end,i);
delayStruct.new(1:6,i) = 0.0;
delayStruct.new(end-6:end,i) = 0.0; % ends are no good
end
[valuen, tempdelay] = min(delayStruct.new(:,i)); % find minimum
if oldMethod
threshold = valuen + (max(delayStruct.new(:,i)) - valuen)/4;
thIndex = find(delayStruct.new(:,i) <= threshold);
if (i > 1)
delayDiff = abs(delayStruct.delay(i-1)-tempdelay+1);
if (delayStruct.oneGoodEstimate & (max(diff(thIndex)) > 1) & (delayDiff < 10))
% We consider this minimum to be significant, hence update the delay
delayStruct.delay(i) = tempdelay;
elseif (~delayStruct.oneGoodEstimate & (max(diff(thIndex)) > 1))
delayStruct.delay(i) = tempdelay;
if (i > histLenb)
delayStruct.oneGoodEstimate = 1;
end
else
delayStruct.delay(i) = delayStruct.delay(i-1);
end
else
delayStruct.delay(i) = tempdelay;
end
else
threshold = THReSHoLD*std(delayStruct.new(:,i)); % set updata threshold
if ((-valuen > threshold) | (i < delayStruct.smlength)) % see if you want to update delay
delayStruct.delay(i) = tempdelay;
else
delayStruct.delay(i) = delayStruct.delay(i-1);
end
% END NEW CODE
end
delayStructNew = delayStruct;
% administrative and plotting stuff
if( 0)
figure(10);
plot([1:length(delayStructNew.new(:,i))],delayStructNew.new(:,i),trueDelay*[1 1],[min(delayStructNew.new(:,i)),max(delayStructNew.new(:,i))],'r',[1 length(delayStructNew.new(:,i))],threshold*[1 1],'r:', 'LineWidth',2);
%plot([1:length(delayStructNew.bcount(:,i))],delayStructNew.bcount(:,i),trueDelay*[1 1],[min(delayStructNew.bcount(:,i)),max(delayStructNew.bcount(:,i))],'r','LineWidth',2);
%plot([thedelay,thedelay],[min(fcount(:,i)),max(fcount(:,i))],'r');
%title(sprintf('bin count and known delay at time %5.1f s\n',(i-1)*(support/(fs*oversampling))));
title(delayStructNew.oneGoodEstimate)
xlabel('delay in frames');
%hold off;
drawnow
end

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@ -1,88 +0,0 @@
function [gam, cntIn2, cntOut2] = calcFilterGain(energy, dE, aecmStruct, t, T, cntIn, cntOut)
defaultLevel = 1.2;
cntIn2 = cntIn;
cntOut2 = cntOut;
if (t < T)
gam = 1;
else
dE1 = -5;
dE2 = 1;
gamMid = 0.2;
gam = max(0,min((energy - aecmStruct.energyMin)/(aecmStruct.energyLevel - aecmStruct.energyMin), 1-(1-gamMid)*(aecmStruct.energyMax-energy)/(aecmStruct.energyMax-aecmStruct.energyLevel)));
dEOffset = -0.5;
dEWidth = 1.5;
%gam2 = max(1,2-((dE-dEOffset)/(dE2-dEOffset)).^2);
gam2 = 1+(abs(dE-dEOffset)<(dE2-dEOffset));
gam = gam*gam2;
if (energy < aecmStruct.energyLevel)
gam = 0;
else
gam = defaultLevel;
end
dEVec = aecmStruct.enerNear(t-63:t)-aecmStruct.enerEcho(t-63:t);
%dEVec = aecmStruct.enerNear(t-20:t)-aecmStruct.enerEcho(t-20:t);
numCross = 0;
currentState = 0;
for ii=1:64
if (currentState == 0)
currentState = (dEVec(ii) > dE2) - (dEVec(ii) < -2);
elseif ((currentState == 1) & (dEVec(ii) < -2))
numCross = numCross + 1;
currentState = -1;
elseif ((currentState == -1) & (dEVec(ii) > dE2))
numCross = numCross + 1;
currentState = 1;
end
end
gam = max(0, gam - numCross/25);
gam = 1;
ener_A = 1;
ener_B = 0.8;
ener_C = aecmStruct.energyLevel + (aecmStruct.energyMax-aecmStruct.energyLevel)/5;
dE_A = 4;%2;
dE_B = 3.6;%1.8;
dE_C = 0.9*dEWidth;
dE_D = 1;
timeFactorLength = 10;
ddE = abs(dE-dEOffset);
if (energy < aecmStruct.energyLevel)
gam = 0;
else
gam = 1;
gam2 = max(0, min(ener_B*(energy-aecmStruct.energyLevel)/(ener_C-aecmStruct.energyLevel), ener_B+(ener_A-ener_B)*(energy-ener_C)/(aecmStruct.energyMax-ener_C)));
if (ddE < dEWidth)
% Update counters
cntIn2 = cntIn2 + 1;
if (cntIn2 > 2)
cntOut2 = 0;
end
gam3 = max(dE_D, min(dE_A-(dE_A-dE_B)*(ddE/dE_C), dE_D+(dE_B-dE_D)*(dEWidth-ddE)/(dEWidth-dE_C)));
gam3 = dE_A;
else
% Update counters
cntOut2 = cntOut2 + 1;
if (cntOut2 > 2)
cntIn2 = 0;
end
%gam2 = 1;
gam3 = dE_D;
end
timeFactor = min(1, cntIn2/timeFactorLength);
gam = gam*(1-timeFactor) + timeFactor*gam2*gam3;
end
%gam = gam/floor(numCross/2+1);
end
if isempty(gam)
numCross
timeFactor
cntIn2
cntOut2
gam2
gam3
end

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@ -1,105 +0,0 @@
function [mu, aecmStructNew] = calcStepSize(energy, dE, aecmStruct, t, logscale)
if (nargin < 4)
t = 1;
logscale = 1;
elseif (nargin == 4)
logscale = 1;
end
T = aecmStruct.convLength;
if logscale
currentMuMax = aecmStruct.MU_MIN + (aecmStruct.MU_MAX-aecmStruct.MU_MIN)*min(t,T)/T;
if (aecmStruct.energyMin >= aecmStruct.energyMax)
mu = aecmStruct.MU_MIN;
else
mu = (energy - aecmStruct.energyMin)/(aecmStruct.energyMax - aecmStruct.energyMin)*(currentMuMax-aecmStruct.MU_MIN) + aecmStruct.MU_MIN;
end
mu = 2^mu;
if (energy < aecmStruct.energyLevel)
mu = 0;
end
else
muMin = 0;
muMax = 0.5;
currentMuMax = muMin + (muMax-muMin)*min(t,T)/T;
if (aecmStruct.energyMin >= aecmStruct.energyMax)
mu = muMin;
else
mu = (energy - aecmStruct.energyMin)/(aecmStruct.energyMax - aecmStruct.energyMin)*(currentMuMax-muMin) + muMin;
end
end
dE2 = 1;
dEOffset = -0.5;
offBoost = 5;
if (mu > 0)
if (abs(dE-aecmStruct.ENERGY_DEV_OFFSET) > aecmStruct.ENERGY_DEV_TOL)
aecmStruct.muStruct.countInInterval = 0;
else
aecmStruct.muStruct.countInInterval = aecmStruct.muStruct.countInInterval + 1;
end
if (dE < aecmStruct.ENERGY_DEV_OFFSET - aecmStruct.ENERGY_DEV_TOL)
aecmStruct.muStruct.countOutLowInterval = aecmStruct.muStruct.countOutLowInterval + 1;
else
aecmStruct.muStruct.countOutLowInterval = 0;
end
if (dE > aecmStruct.ENERGY_DEV_OFFSET + aecmStruct.ENERGY_DEV_TOL)
aecmStruct.muStruct.countOutHighInterval = aecmStruct.muStruct.countOutHighInterval + 1;
else
aecmStruct.muStruct.countOutHighInterval = 0;
end
end
muVar = 2^min(-3,5/50*aecmStruct.muStruct.countInInterval-3);
muOff = 2^max(offBoost,min(0,offBoost*(aecmStruct.muStruct.countOutLowInterval-aecmStruct.muStruct.minOutLowInterval)/(aecmStruct.muStruct.maxOutLowInterval-aecmStruct.muStruct.minOutLowInterval)));
muLow = 1/64;
muVar = 1;
if (t < 2*T)
muDT = 1;
muVar = 1;
mdEVec = 0;
numCross = 0;
else
muDT = min(1,max(muLow,1-(1-muLow)*(dE-aecmStruct.ENERGY_DEV_OFFSET)/aecmStruct.ENERGY_DEV_TOL));
dEVec = aecmStruct.enerNear(t-63:t)-aecmStruct.enerEcho(t-63:t);
%dEVec = aecmStruct.enerNear(t-20:t)-aecmStruct.enerEcho(t-20:t);
numCross = 0;
currentState = 0;
for ii=1:64
if (currentState == 0)
currentState = (dEVec(ii) > dE2) - (dEVec(ii) < -2);
elseif ((currentState == 1) & (dEVec(ii) < -2))
numCross = numCross + 1;
currentState = -1;
elseif ((currentState == -1) & (dEVec(ii) > dE2))
numCross = numCross + 1;
currentState = 1;
end
end
%logicDEVec = (dEVec > dE2) - (dEVec < -2);
%numCross = sum(abs(diff(logicDEVec)));
%mdEVec = mean(abs(dEVec-dEOffset));
%mdEVec = mean(abs(dEVec-mean(dEVec)));
%mdEVec = max(dEVec)-min(dEVec);
%if (mdEVec > 4)%1.5)
% muVar = 0;
%end
muVar = 2^(-floor(numCross/2));
muVar = 2^(-numCross);
end
%muVar = 1;
% if (eStd > (dE2-dEOffset))
% muVar = 1/8;
% else
% muVar = 1;
% end
%mu = mu*muDT*muVar*muOff;
mu = mu*muDT*muVar;
mu = min(mu,0.25);
aecmStructNew = aecmStruct;
%aecmStructNew.varMean = mdEVec;
aecmStructNew.varMean = numCross;

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@ -1,42 +0,0 @@
function [U, Hnew] = fallerEstimator(Y, X, H, mu)
% Near end signal is stacked frame by frame columnwise in matrix Y and far end in X
%
% Possible estimation procedures are
% 1) LSE
% 2) NLMS
% 3) Separated numerator and denomerator filters
regParam = 1;
[numFreqs, numFrames] = size(Y);
[numFreqs, Q] = size(X);
U = zeros(numFreqs, 1);
if ((nargin == 3) | (nargin == 5))
dtd = 0;
end
if (nargin == 4)
dtd = H;
end
Emax = 7;
dEH = Emax-sum(sum(H));
nu = 2*mu;
% if (nargin < 5)
% H = zeros(numFreqs, Q);
% for kk = 1:numFreqs
% Xmatrix = hankel(X(kk,1:Q),X(kk,Q:end));
% y = Y(kk,1:end-Q+1)';
% H(kk,:) = (y'*Xmatrix')*inv(Xmatrix*Xmatrix'+regParam);
% U(kk,1) = H(kk,:)*Xmatrix(:,1);
% end
% else
for kk = 1:numFreqs
x = X(kk,1:Q)';
y = Y(kk,1);
Htmp = mu*(y-H(kk,:)*x)/(x'*x+regParam)*x;
%Htmp = (mu*(y-H(kk,:)*x)/(x'*x+regParam) - nu/dEH)*x;
H(kk,:) = H(kk,:) + Htmp';
U(kk,1) = H(kk,:)*x;
end
% end
Hnew = H;

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@ -1,22 +0,0 @@
function bspectrum=getBspectrum(ps,threshold,bandfirst,bandlast)
% function bspectrum=getBspectrum(ps,threshold,bandfirst,bandlast)
% compute binary spectrum using threshold spectrum as pivot
% bspectrum = binary spectrum (binary)
% ps=current power spectrum (float)
% threshold=threshold spectrum (float)
% bandfirst = first band considered
% bandlast = last band considered
% initialization stuff
if( length(ps)<bandlast | bandlast>32 | length(ps)~=length(threshold))
error('BinDelayEst:spectrum:invalid','Dimensionality error');
end
% get current binary spectrum
diff = ps - threshold;
bspectrum=uint32(0);
for(i=bandfirst:bandlast)
if( diff(i)>0 )
bspectrum = bitset(bspectrum,i);
end
end

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@ -1,21 +0,0 @@
function bcount=hisser2(bs,bsr,bandfirst,bandlast)
% function bcount=hisser(bspectrum,bandfirst,bandlast)
% histogram for the binary spectra
% bcount= array of bit counts
% bs=binary spectrum (one int32 number each)
% bsr=reference binary spectra (one int32 number each)
% blockSize = histogram over blocksize blocks
% bandfirst = first band considered
% bandlast = last band considered
% weight all delays equally
maxDelay = length(bsr);
% compute counts (two methods; the first works better and is operational)
bcount=zeros(maxDelay,1);
for(i=1:maxDelay)
% the delay should have low count for low-near&high-far and high-near&low-far
bcount(i)= sum(bitget(bitxor(bs,bsr(i)),bandfirst:bandlast));
% the delay should have low count for low-near&high-far (works less well)
% bcount(i)= sum(bitget(bitand(bsr(i),bitxor(bs,bsr(i))),bandfirst:bandlast));
end

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@ -1,283 +0,0 @@
useHTC = 1; % Set this if you want to run a single file and set file names below. Otherwise use simEnvironment to run from several scenarios in a row
delayCompensation_flag = 0; % Set this flag to one if you want to turn on the delay compensation/enhancement
global FARENDFFT;
global NEARENDFFT;
global F;
if useHTC
% fid=fopen('./htcTouchHd/nb/aecFar.pcm'); xFar=fread(fid,'short'); fclose(fid);
% fid=fopen('./htcTouchHd/nb/aecNear.pcm'); yNear=fread(fid,'short'); fclose(fid);
% fid=fopen('./samsungBlackjack/nb/aecFar.pcm'); xFar=fread(fid,'short'); fclose(fid);
% fid=fopen('./samsungBlackjack/nb/aecNear.pcm'); yNear=fread(fid,'short'); fclose(fid);
% fid=fopen('aecFarPoor.pcm'); xFar=fread(fid,'short'); fclose(fid);
% fid=fopen('aecNearPoor.pcm'); yNear=fread(fid,'short'); fclose(fid);
% fid=fopen('out_aes.pcm'); outAES=fread(fid,'short'); fclose(fid);
fid=fopen('aecFar4.pcm'); xFar=fread(fid,'short'); fclose(fid);
fid=fopen('aecNear4.pcm'); yNear=fread(fid,'short'); fclose(fid);
yNearSpeech = zeros(size(xFar));
fs = 8000;
frameSize = 64;
% frameSize = 128;
fs = 16000;
% frameSize = 256;
%F = load('fftValues.txt');
%FARENDFFT = F(:,1:33);
%NEARENDFFT = F(:,34:66);
else
loadFileFar = [speakerType, '_s_',scenario,'_far_b.wav'];
[xFar,fs,nbits] = wavread(loadFileFar);
xFar = xFar*2^(nbits-1);
loadFileNear = [speakerType, '_s_',scenario,'_near_b.wav'];
[yNear,fs,nbits] = wavread(loadFileNear);
yNear = yNear*2^(nbits-1);
loadFileNearSpeech = [speakerType, '_s_',scenario,'_nearSpeech_b.wav'];
[yNearSpeech,fs,nbits] = wavread(loadFileNearSpeech);
yNearSpeech = yNearSpeech*2^(nbits-1);
frameSize = 256;
end
dtRegions = [];
% General settings for the AECM
setupStruct = struct(...
'stepSize_flag', 1,... % This flag turns on the step size calculation. If turned off, mu = 0.25.
'supGain_flag', 0,... % This flag turns on the suppression gain calculation. If turned off, gam = 1.
'channelUpdate_flag', 0,... % This flag turns on the channel update. If turned off, H is updated for convLength and then kept constant.
'nlp_flag', 0,... % Turn on/off NLP
'withVAD_flag', 0,... % Turn on/off NLP
'useSubBand', 0,... % Set to 1 if to use subBands
'useDelayEstimation', 1,... % Set to 1 if to use delay estimation
'support', frameSize,... % # of samples per frame
'samplingfreq',fs,... % Sampling frequency
'oversampling', 2,... % Overlap between blocks/frames
'updatel', 0,... % # of samples between blocks
'hsupport1', 0,... % # of bins in frequency domain
'factor', 0,... % synthesis window amplification
'tlength', 0,... % # of samples of entire file
'updateno', 0,... % # of updates
'nb', 1,... % # of blocks
'currentBlock', 0,... %
'win', zeros(frameSize,1),...% Window to apply for fft and synthesis
'avtime', 1,... % Time (in sec.) to perform averaging
'estLen', 0,... % Averaging in # of blocks
'A_GAIN', 10.0,... %
'suppress_overdrive', 1.0,... % overdrive factor for suppression 1.4 is good
'gamma_echo', 1.0,... % same as suppress_overdrive but at different place
'de_echo_bound', 0.0,... %
'nl_alpha', 0.4,... % memory; seems not very critical
'nlSeverity', 0.2,... % nonlinearity severity: 0 does nothing; 1 suppresses all
'numInBand', [],... % # of frequency bins in resp. subBand
'centerFreq', [],... % Center frequency of resp. subBand
'dtRegions', dtRegions,... % Regions where we have DT
'subBandLength', frameSize/2);%All bins
%'subBandLength', 11); %Something's wrong when subBandLength even
%'nl_alpha', 0.8,... % memory; seems not very critical
delayStruct = struct(...
'bandfirst', 8,...
'bandlast', 25,...
'smlength', 600,...
'maxDelay', 0.4,...
'oneGoodEstimate', 0,...
'delayAdjust', 0,...
'maxDelayb', 0);
% More parameters in delayStruct are constructed in "updateSettings" below
% Make struct settings
[setupStruct, delayStruct] = updateSettings(yNear, xFar, setupStruct, delayStruct);
setupStruct.numInBand = ones(setupStruct.hsupport1,1);
Q = 1; % Time diversity in channel
% General settings for the step size calculation
muStruct = struct(...
'countInInterval', 0,...
'countOutHighInterval', 0,...
'countOutLowInterval', 0,...
'minInInterval', 50,...
'minOutHighInterval', 10,...
'minOutLowInterval', 10,...
'maxOutLowInterval', 50);
% General settings for the AECM
aecmStruct = struct(...
'plotIt', 0,... % Set to 0 to turn off plotting
'useSubBand', 0,...
'bandFactor', 1,...
'H', zeros(setupStruct.subBandLength+1,Q),...
'HStored', zeros(setupStruct.subBandLength+1,Q),...
'X', zeros(setupStruct.subBandLength+1,Q),...
'energyThres', 0.28,...
'energyThresMSE', 0.4,...
'energyMin', inf,...
'energyMax', -inf,...
'energyLevel', 0,...
'energyLevelMSE', 0,...
'convLength', 100,...
'gammaLog', ones(setupStruct.updateno,1),...
'muLog', ones(setupStruct.updateno,1),...
'enerFar', zeros(setupStruct.updateno,1),...
'enerNear', zeros(setupStruct.updateno,1),...
'enerEcho', zeros(setupStruct.updateno,1),...
'enerEchoStored', zeros(setupStruct.updateno,1),...
'enerOut', zeros(setupStruct.updateno,1),...
'runningfmean', 0,...
'muStruct', muStruct,...
'varMean', 0,...
'countMseH', 0,...
'mseHThreshold', 1.1,...
'mseHStoredOld', inf,...
'mseHLatestOld', inf,...
'delayLatestS', zeros(1,51),...
'feedbackDelay', 0,...
'feedbackDelayUpdate', 0,...
'cntIn', 0,...
'cntOut', 0,...
'FAR_ENERGY_MIN', 1,...
'ENERGY_DEV_OFFSET', 0.5,...
'ENERGY_DEV_TOL', 1.5,...
'MU_MIN', -16,...
'MU_MAX', -2,...
'newDelayCurve', 0);
% Adjust speech signals
xFar = [zeros(setupStruct.hsupport1-1,1);xFar(1:setupStruct.tlength)];
yNear = [zeros(setupStruct.hsupport1-1,1);yNear(1:setupStruct.tlength)];
yNearSpeech = [zeros(setupStruct.hsupport1-1,1);yNearSpeech(1:setupStruct.tlength)];
xFar = xFar(1:setupStruct.tlength);
yNear = yNear(1:setupStruct.tlength);
% Set figure settings
if aecmStruct.plotIt
figure(13)
set(gcf,'doublebuffer','on')
end
%%%%%%%%%%
% Here starts the algorithm
% Dividing into frames and then estimating the near end speech
%%%%%%%%%%
fTheFarEnd = complex(zeros(setupStruct.hsupport1,1));
afTheFarEnd = zeros(setupStruct.hsupport1,setupStruct.updateno+1);
fFar = zeros(setupStruct.hsupport1,setupStruct.updateno+1);
fmicrophone = complex(zeros(setupStruct.hsupport1,1));
afmicrophone = zeros(setupStruct.hsupport1,setupStruct.updateno+1);
fNear = zeros(setupStruct.hsupport1,setupStruct.updateno+1);
femicrophone = complex(zeros(setupStruct.hsupport1,1));
emicrophone = zeros(setupStruct.tlength,1);
if (setupStruct.useDelayEstimation == 2)
delSamples = [1641 1895 2032 1895 2311 2000 2350 2222 NaN 2332 2330 2290 2401 2415 NaN 2393 2305 2381 2398];
delBlocks = round(delSamples/setupStruct.updatel);
delStarts = floor([25138 46844 105991 169901 195739 218536 241803 333905 347703 362660 373753 745135 765887 788078 806257 823835 842443 860139 881869]/setupStruct.updatel);
else
delStarts = [];
end
for i=1:setupStruct.updateno
setupStruct.currentBlock = i;
sb = (i-1)*setupStruct.updatel + 1;
se = sb + setupStruct.support - 1;
%%%%%%%
% Analysis FFTs
%%%%%%%
% Far end signal
temp = fft(setupStruct.win .* xFar(sb:se))/frameSize;
fTheFarEnd = temp(1:setupStruct.hsupport1);
afTheFarEnd(:,i) = abs(fTheFarEnd);
fFar(:,i) = fTheFarEnd;
% Near end signal
temp = fft(setupStruct.win .* yNear(sb:se))/frameSize;%,pause
fmicrophone = temp(1:setupStruct.hsupport1);
afmicrophone(:,i) = abs(fmicrophone);
fNear(:,i) = fmicrophone;
%abs(fmicrophone),pause
% The true near end speaker (if we have such info)
temp = fft(setupStruct.win .* yNearSpeech(sb:se));
aftrueSpeech = abs(temp(1:setupStruct.hsupport1));
if(i == 1000)
%break;
end
% Perform delay estimation
if (setupStruct.useDelayEstimation == 1)
% Delay Estimation
delayStruct = align(fTheFarEnd, fmicrophone, delayStruct, i);
%delayStruct.delay(i) = 39;%19;
idel = max(i - delayStruct.delay(i) + 1,1);
if delayCompensation_flag
% If we have a new delay estimate from Bastiaan's alg. update the offset
if (delayStruct.delay(i) ~= delayStruct.delay(max(1,i-1)))
delayStruct.delayAdjust = delayStruct.delayAdjust + delayStruct.delay(i) - delayStruct.delay(i-1);
end
% Store the compensated delay
delayStruct.delayNew(i) = delayStruct.delay(i) - delayStruct.delayAdjust;
if (delayStruct.delayNew(i) < 1)
% Something's wrong
pause,break
end
% Compensate with the offset estimate
idel = idel + delayStruct.delayAdjust;
end
if 0%aecmStruct.plotIt
figure(1)
plot(1:i,delayStruct.delay(1:i),'k:',1:i,delayStruct.delayNew(1:i),'k--','LineWidth',2),drawnow
end
elseif (setupStruct.useDelayEstimation == 2)
% Use "manual delay"
delIndex = find(delStarts<i);
if isempty(delIndex)
idel = i;
else
idel = i - delBlocks(max(delIndex));
if isnan(idel)
idel = i - delBlocks(max(delIndex)-1);
end
end
else
% No delay estimation
%idel = max(i - 18, 1);
idel = max(i - 50, 1);
end
%%%%%%%%
% This is the AECM algorithm
%
% Output is the new frequency domain signal (hopefully) echo compensated
%%%%%%%%
[femicrophone, aecmStruct] = AECMobile(fmicrophone, afTheFarEnd(:,idel), setupStruct, aecmStruct);
%[femicrophone, aecmStruct] = AECMobile(fmicrophone, FARENDFFT(idel,:)'/2^F(idel,end-1), setupStruct, aecmStruct);
if aecmStruct.feedbackDelayUpdate
% If the feedback tells us there is a new offset out there update the enhancement
delayStruct.delayAdjust = delayStruct.delayAdjust + aecmStruct.feedbackDelay;
aecmStruct.feedbackDelayUpdate = 0;
end
% reconstruction; first make spectrum odd
temp = [femicrophone; flipud(conj(femicrophone(2:(setupStruct.hsupport1-1))))];
emicrophone(sb:se) = emicrophone(sb:se) + setupStruct.factor * setupStruct.win .* real(ifft(temp))*frameSize;
if max(isnan(emicrophone(sb:se)))
% Something's wrong with the output at block i
i
break
end
end
if useHTC
fid=fopen('aecOutMatlabC.pcm','w');fwrite(fid,int16(emicrophone),'short');fclose(fid);
%fid=fopen('farendFFT.txt','w');fwrite(fid,int16(afTheFarEnd(:)),'short');fclose(fid);
%fid=fopen('farendFFTreal.txt','w');fwrite(fid,int16(imag(fFar(:))),'short');fclose(fid);
%fid=fopen('farendFFTimag.txt','w');fwrite(fid,int16(real(fFar(:))),'short');fclose(fid);
%fid=fopen('nearendFFT.txt','w');fwrite(fid,int16(afmicrophone(:)),'short');fclose(fid);
%fid=fopen('nearendFFTreal.txt','w');fwrite(fid,int16(real(fNear(:))),'short');fclose(fid);
%fid=fopen('nearendFFTimag.txt','w');fwrite(fid,int16(imag(fNear(:))),'short');fclose(fid);
end
if useHTC
%spclab(setupStruct.samplingfreq,xFar,yNear,emicrophone)
else
spclab(setupStruct.samplingfreq,xFar,yNear,emicrophone,yNearSpeech)
end

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@ -1,15 +0,0 @@
speakerType = 'fm';
%for k=2:5
%for k=[2 4 5]
for k=3
scenario = int2str(k);
fprintf('Current scenario: %d\n',k)
mainProgram
%saveFile = [speakerType, '_s_',scenario,'_delayEst_v2_vad_man.wav'];
%wavwrite(emic,fs,nbits,saveFile);
%saveFile = ['P:\Engineering_share\BjornV\AECM\',speakerType, '_s_',scenario,'_delayEst_v2_vad_man.pcm'];
%saveFile = [speakerType, '_s_',scenario,'_adaptMu_adaptGamma_withVar_gammFilt_HSt.pcm'];
saveFile = ['scenario_',scenario,'_090417_backupH_nlp.pcm'];
fid=fopen(saveFile,'w');fwrite(fid,int16(emicrophone),'short');fclose(fid);
%pause
end

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@ -1,94 +0,0 @@
function [setupStructNew, delayStructNew] = updateSettings(microphone, TheFarEnd, setupStruct, delayStruct);
% other, constants
setupStruct.hsupport1 = setupStruct.support/2 + 1;
setupStruct.factor = 2 / setupStruct.oversampling;
setupStruct.updatel = setupStruct.support/setupStruct.oversampling;
setupStruct.estLen = round(setupStruct.avtime * setupStruct.samplingfreq/setupStruct.updatel);
% compute some constants
blockLen = setupStruct.support/setupStruct.oversampling;
delayStruct.maxDelayb = floor(setupStruct.samplingfreq*delayStruct.maxDelay/setupStruct.updatel); % in blocks
%input
tlength = min([length(microphone),length(TheFarEnd)]);
updateno = floor(tlength/setupStruct.updatel);
setupStruct.tlength = setupStruct.updatel*updateno;
setupStruct.updateno = updateno - setupStruct.oversampling + 1;
% signal length
n = floor(min([length(TheFarEnd), length(microphone)])/setupStruct.support)*setupStruct.support;
setupStruct.nb = n/blockLen - setupStruct.oversampling + 1; % in blocks
setupStruct.win = sqrt([0 ; hanning(setupStruct.support-1)]);
% Construct filterbank in Bark-scale
K = setupStruct.subBandLength; %Something's wrong when K even
erbs = 21.4*log10(0.00437*setupStruct.samplingfreq/2+1);
fe = (10.^((0:K)'*erbs/K/21.4)-1)/0.00437;
setupStruct.centerFreq = fe;
H = diag(ones(1,K-1))+diag(ones(1,K-2),-1);
Hinv = inv(H);
aty = 2*Hinv(end,:)*fe(2:end-1);
boundary = aty - (setupStruct.samplingfreq/2 + fe(end-1))/2;
if rem(K,2)
x1 = min([fe(2)/2, -boundary]);
else
x1 = max([0, boundary]);
end
%x1
g = fe(2:end-1);
g(1) = g(1) - x1/2;
x = 2*Hinv*g;
x = [x1;x];
%figure(42), clf
xy = zeros((K+1)*4,1);
yy = zeros((K+1)*4,1);
xy(1:4) = [fe(1) fe(1) x(1) x(1)]';
yy(1:4) = [0 1 1 0]'/x(1);
for kk=2:K
xy((kk-1)*4+(1:4)) = [x(kk-1) x(kk-1) x(kk) x(kk)]';
yy((kk-1)*4+(1:4)) = [0 1 1 0]'/(x(kk)-x(kk-1));
end
xy(end-3:end) = [x(K) x(K) fe(end) fe(end)]';
yy(end-3:end) = [0 1 1 0]'/(fe(end)*2-2*x(K));
%plot(xy,yy,'LineWidth',2)
%fill(xy,yy,'y')
x = [0;x];
xk = x*setupStruct.hsupport1/setupStruct.samplingfreq*2;
%setupStruct.erbBoundaries = xk;
numInBand = zeros(length(xk),1);
xh = (0:setupStruct.hsupport1-1);
for kk=1:length(xk)
if (kk==length(xk))
numInBand(kk) = length(find(xh>=xk(kk)));
else
numInBand(kk) = length(intersect(find(xh>=xk(kk)),find(xh<xk(kk+1))));
end
end
setupStruct.numInBand = numInBand;
setupStructNew = setupStruct;
delayStructNew = struct(...
'sxAll2',zeros(setupStructNew.hsupport1,setupStructNew.nb),...
'syAll2',zeros(setupStructNew.hsupport1,setupStructNew.nb),...
'z200',zeros(5,setupStructNew.hsupport1),...
'z500',zeros(5,delayStruct.maxDelayb+1),...
'bxspectrum',uint32(zeros(setupStructNew.nb,1)),...
'byspectrum',uint32(zeros(setupStructNew.nb,1)),...
'bandfirst',delayStruct.bandfirst,'bandlast',delayStruct.bandlast,...
'bxhist',uint32(zeros(delayStruct.maxDelayb+1,1)),...
'bcount',zeros(1+delayStruct.maxDelayb,setupStructNew.nb),...
'fout',zeros(1+delayStruct.maxDelayb,setupStructNew.nb),...
'new',zeros(1+delayStruct.maxDelayb,setupStructNew.nb),...
'smlength',delayStruct.smlength,...
'maxDelay', delayStruct.maxDelay,...
'maxDelayb', delayStruct.maxDelayb,...
'oneGoodEstimate', 0,...
'delayAdjust', 0,...
'delayNew',zeros(setupStructNew.nb,1),...
'delay',zeros(setupStructNew.nb,1));

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@ -1,234 +0,0 @@
function fout = waitbar_j(x,whichbar, varargin)
%WAITBAR Display wait bar.
% H = WAITBAR(X,'title', property, value, property, value, ...)
% creates and displays a waitbar of fractional length X. The
% handle to the waitbar figure is returned in H.
% X should be between 0 and 1. Optional arguments property and
% value allow to set corresponding waitbar figure properties.
% Property can also be an action keyword 'CreateCancelBtn', in
% which case a cancel button will be added to the figure, and
% the passed value string will be executed upon clicking on the
% cancel button or the close figure button.
%
% WAITBAR(X) will set the length of the bar in the most recently
% created waitbar window to the fractional length X.
%
% WAITBAR(X,H) will set the length of the bar in waitbar H
% to the fractional length X.
%
% WAITBAR(X,H,'updated title') will update the title text in
% the waitbar figure, in addition to setting the fractional
% length to X.
%
% WAITBAR is typically used inside a FOR loop that performs a
% lengthy computation. A sample usage is shown below:
%
% h = waitbar(0,'Please wait...');
% for i=1:100,
% % computation here %
% waitbar(i/100,h)
% end
% close(h)
% Clay M. Thompson 11-9-92
% Vlad Kolesnikov 06-7-99
% Copyright 1984-2001 The MathWorks, Inc.
% $Revision: 1.22 $ $Date: 2001/04/15 12:03:29 $
if nargin>=2
if ischar(whichbar)
type=2; %we are initializing
name=whichbar;
elseif isnumeric(whichbar)
type=1; %we are updating, given a handle
f=whichbar;
else
error(['Input arguments of type ' class(whichbar) ' not valid.'])
end
elseif nargin==1
f = findobj(allchild(0),'flat','Tag','TMWWaitbar');
if isempty(f)
type=2;
name='Waitbar';
else
type=1;
f=f(1);
end
else
error('Input arguments not valid.');
end
x = max(0,min(100*x,100));
switch type
case 1, % waitbar(x) update
p = findobj(f,'Type','patch');
l = findobj(f,'Type','line');
if isempty(f) | isempty(p) | isempty(l),
error('Couldn''t find waitbar handles.');
end
xpatch = get(p,'XData');
xpatch = [0 x x 0];
set(p,'XData',xpatch)
xline = get(l,'XData');
set(l,'XData',xline);
if nargin>2,
% Update waitbar title:
hAxes = findobj(f,'type','axes');
hTitle = get(hAxes,'title');
set(hTitle,'string',varargin{1});
end
case 2, % waitbar(x,name) initialize
vertMargin = 0;
if nargin > 2,
% we have optional arguments: property-value pairs
if rem (nargin, 2 ) ~= 0
error( 'Optional initialization arguments must be passed in pairs' );
end
end
oldRootUnits = get(0,'Units');
set(0, 'Units', 'points');
screenSize = get(0,'ScreenSize');
axFontSize=get(0,'FactoryAxesFontSize');
pointsPerPixel = 72/get(0,'ScreenPixelsPerInch');
width = 360 * pointsPerPixel;
height = 75 * pointsPerPixel;
pos = [screenSize(3)/2-width/2 screenSize(4)/2-height/2 width height];
%pos= [501.75 589.5 393.75 52.5];
f = figure(...
'Units', 'points', ...
'BusyAction', 'queue', ...
'Position', pos, ...
'Resize','on', ...
'CreateFcn','', ...
'NumberTitle','off', ...
'IntegerHandle','off', ...
'MenuBar', 'none', ...
'Tag','TMWWaitbar',...
'Interruptible', 'off', ...
'Visible','on');
%%%%%%%%%%%%%%%%%%%%%
% set figure properties as passed to the fcn
% pay special attention to the 'cancel' request
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if nargin > 2,
propList = varargin(1:2:end);
valueList = varargin(2:2:end);
cancelBtnCreated = 0;
for ii = 1:length( propList )
try
if strcmp(lower(propList{ii}), 'createcancelbtn' ) & ~cancelBtnCreated
cancelBtnHeight = 23 * pointsPerPixel;
cancelBtnWidth = 60 * pointsPerPixel;
newPos = pos;
vertMargin = vertMargin + cancelBtnHeight;
newPos(4) = newPos(4)+vertMargin;
callbackFcn = [valueList{ii}];
set( f, 'Position', newPos, 'CloseRequestFcn', callbackFcn );
cancelButt = uicontrol('Parent',f, ...
'Units','points', ...
'Callback',callbackFcn, ...
'ButtonDownFcn', callbackFcn, ...
'Enable','on', ...
'Interruptible','off', ...
'Position', [pos(3)-cancelBtnWidth*1.4, 7, ...
cancelBtnWidth, cancelBtnHeight], ...
'String','Cancel', ...
'Tag','TMWWaitbarCancelButton');
cancelBtnCreated = 1;
else
% simply set the prop/value pair of the figure
set( f, propList{ii}, valueList{ii});
end
catch
disp ( ['Warning: could not set property ''' propList{ii} ''' with value ''' num2str(valueList{ii}) '''' ] );
end
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
colormap([]);
axNorm=[.05 .3 .9 .2];
% axNorm=[1 1 1 1];
axPos=axNorm.*[pos(3:4),pos(3:4)] + [0 vertMargin 0 0];
h = axes('XLim',[0 100],...
'YLim',[0 1],...
'Box','on', ...
'Units','Points',...
'FontSize', axFontSize,...
'Position',axPos,...
'XTickMode','manual',...
'YTickMode','manual',...
'XTick',[],...
'YTick',[],...
'XTickLabelMode','manual',...
'XTickLabel',[],...
'YTickLabelMode','manual',...
'YTickLabel',[]);
tHandle=title(name);
tHandle=get(h,'title');
oldTitleUnits=get(tHandle,'Units');
set(tHandle,...
'Units', 'points',...
'String', name);
tExtent=get(tHandle,'Extent');
set(tHandle,'Units',oldTitleUnits);
titleHeight=tExtent(4)+axPos(2)+axPos(4)+5;
if titleHeight>pos(4)
pos(4)=titleHeight;
pos(2)=screenSize(4)/2-pos(4)/2;
figPosDirty=logical(1);
else
figPosDirty=logical(0);
end
if tExtent(3)>pos(3)*1.10;
pos(3)=min(tExtent(3)*1.10,screenSize(3));
pos(1)=screenSize(3)/2-pos(3)/2;
axPos([1,3])=axNorm([1,3])*pos(3);
set(h,'Position',axPos);
figPosDirty=logical(1);
end
if figPosDirty
set(f,'Position',pos);
end
xpatch = [0 x x 0];
ypatch = [0 0 1 1];
xline = [100 0 0 100 100];
yline = [0 0 1 1 0];
p = patch(xpatch,ypatch,'r','EdgeColor','r','EraseMode','none');
l = line(xline,yline,'EraseMode','none');
set(l,'Color',get(gca,'XColor'));
set(f,'HandleVisibility','callback','visible','on', 'resize','off');
set(0, 'Units', oldRootUnits);
end % case
drawnow;
if nargout==1,
fout = f;
end