webrtc/webrtc/voice_engine/network_predictor_unittest.cc
minyue@webrtc.org 74aaf29a0f Raw packet loss rate reported by RTP_RTCP module may vary too drastically over time. This CL is to add a filter to the value in VoE before lending it to audio coding module.
The filter is an exponential filter borrowed from video coding module.

The method is written in a new class called PacketLossProtector (not sure if the name is nice), which can be used in the future for more sophisticated logic.

BUG=
R=henrika@webrtc.org, stefan@webrtc.org

Review URL: https://webrtc-codereview.appspot.com/20809004

git-svn-id: http://webrtc.googlecode.com/svn/trunk@6709 4adac7df-926f-26a2-2b94-8c16560cd09d
2014-07-16 21:28:26 +00:00

44 lines
1.4 KiB
C++

/*
* Copyright (c) 2014 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
#include <math.h>
#include "testing/gtest/include/gtest/gtest.h"
#include "webrtc/voice_engine/network_predictor.h"
#include "webrtc/system_wrappers/interface/clock.h"
namespace webrtc {
namespace voe {
class TestNetworkPredictor : public ::testing::Test {
protected:
TestNetworkPredictor()
: clock_(0),
network_predictor_(new NetworkPredictor(&clock_)) {}
SimulatedClock clock_;
scoped_ptr<NetworkPredictor> network_predictor_;
};
TEST_F(TestNetworkPredictor, TestPacketLossRateFilter) {
// Test initial packet loss rate estimate is 0.
EXPECT_EQ(0, network_predictor_->GetLossRate());
network_predictor_->UpdatePacketLossRate(32);
// First time, no filtering.
EXPECT_EQ(32, network_predictor_->GetLossRate());
clock_.AdvanceTimeMilliseconds(1000);
network_predictor_->UpdatePacketLossRate(40);
float exp = pow(0.9999f, 1000);
float value = 32.0f * exp + (1 - exp) * 40.0f;
EXPECT_EQ(static_cast<uint8_t>(value + 0.5f),
network_predictor_->GetLossRate());
}
} // namespace voe
} // namespace webrtc