blob: 14e93859b8202d9ca051df4cf8a78db159ed15d2 [file] [log] [blame]
/*
* Copyright (c) 2013 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 "webrtc/modules/audio_coding/neteq/statistics_calculator.h"
#include <assert.h>
#include <string.h> // memset
#include "webrtc/modules/audio_coding/neteq/decision_logic.h"
#include "webrtc/modules/audio_coding/neteq/delay_manager.h"
namespace webrtc {
StatisticsCalculator::StatisticsCalculator()
: preemptive_samples_(0),
accelerate_samples_(0),
added_zero_samples_(0),
expanded_speech_samples_(0),
expanded_noise_samples_(0),
discarded_packets_(0),
lost_timestamps_(0),
timestamps_since_last_report_(0),
len_waiting_times_(0),
next_waiting_time_index_(0),
secondary_decoded_samples_(0) {
memset(waiting_times_, 0, kLenWaitingTimes * sizeof(waiting_times_[0]));
}
void StatisticsCalculator::Reset() {
preemptive_samples_ = 0;
accelerate_samples_ = 0;
added_zero_samples_ = 0;
expanded_speech_samples_ = 0;
expanded_noise_samples_ = 0;
secondary_decoded_samples_ = 0;
}
void StatisticsCalculator::ResetMcu() {
discarded_packets_ = 0;
lost_timestamps_ = 0;
timestamps_since_last_report_ = 0;
}
void StatisticsCalculator::ResetWaitingTimeStatistics() {
memset(waiting_times_, 0, kLenWaitingTimes * sizeof(waiting_times_[0]));
len_waiting_times_ = 0;
next_waiting_time_index_ = 0;
}
void StatisticsCalculator::ExpandedVoiceSamples(int num_samples) {
expanded_speech_samples_ += num_samples;
}
void StatisticsCalculator::ExpandedNoiseSamples(int num_samples) {
expanded_noise_samples_ += num_samples;
}
void StatisticsCalculator::PreemptiveExpandedSamples(int num_samples) {
preemptive_samples_ += num_samples;
}
void StatisticsCalculator::AcceleratedSamples(int num_samples) {
accelerate_samples_ += num_samples;
}
void StatisticsCalculator::AddZeros(int num_samples) {
added_zero_samples_ += num_samples;
}
void StatisticsCalculator::PacketsDiscarded(int num_packets) {
discarded_packets_ += num_packets;
}
void StatisticsCalculator::LostSamples(int num_samples) {
lost_timestamps_ += num_samples;
}
void StatisticsCalculator::IncreaseCounter(int num_samples, int fs_hz) {
timestamps_since_last_report_ += num_samples;
if (timestamps_since_last_report_ >
static_cast<uint32_t>(fs_hz * kMaxReportPeriod)) {
lost_timestamps_ = 0;
timestamps_since_last_report_ = 0;
discarded_packets_ = 0;
}
}
void StatisticsCalculator::SecondaryDecodedSamples(int num_samples) {
secondary_decoded_samples_ += num_samples;
}
void StatisticsCalculator::StoreWaitingTime(int waiting_time_ms) {
assert(next_waiting_time_index_ < kLenWaitingTimes);
waiting_times_[next_waiting_time_index_] = waiting_time_ms;
next_waiting_time_index_++;
if (next_waiting_time_index_ >= kLenWaitingTimes) {
next_waiting_time_index_ = 0;
}
if (len_waiting_times_ < kLenWaitingTimes) {
len_waiting_times_++;
}
}
void StatisticsCalculator::GetNetworkStatistics(
int fs_hz,
int num_samples_in_buffers,
int samples_per_packet,
const DelayManager& delay_manager,
const DecisionLogic& decision_logic,
NetEqNetworkStatistics *stats) {
if (fs_hz <= 0 || !stats) {
assert(false);
return;
}
stats->added_zero_samples = added_zero_samples_;
stats->current_buffer_size_ms = num_samples_in_buffers * 1000 / fs_hz;
const int ms_per_packet = decision_logic.packet_length_samples() /
(fs_hz / 1000);
stats->preferred_buffer_size_ms = (delay_manager.TargetLevel() >> 8) *
ms_per_packet;
stats->jitter_peaks_found = delay_manager.PeakFound();
stats->clockdrift_ppm = delay_manager.AverageIAT();
stats->packet_loss_rate =
CalculateQ14Ratio(lost_timestamps_, timestamps_since_last_report_);
const unsigned discarded_samples = discarded_packets_ * samples_per_packet;
stats->packet_discard_rate =
CalculateQ14Ratio(discarded_samples, timestamps_since_last_report_);
stats->accelerate_rate =
CalculateQ14Ratio(accelerate_samples_, timestamps_since_last_report_);
stats->preemptive_rate =
CalculateQ14Ratio(preemptive_samples_, timestamps_since_last_report_);
stats->expand_rate =
CalculateQ14Ratio(expanded_speech_samples_ + expanded_noise_samples_,
timestamps_since_last_report_);
stats->speech_expand_rate =
CalculateQ14Ratio(expanded_speech_samples_,
timestamps_since_last_report_);
stats->secondary_decoded_rate =
CalculateQ14Ratio(secondary_decoded_samples_,
timestamps_since_last_report_);
// Reset counters.
ResetMcu();
Reset();
}
void StatisticsCalculator::WaitingTimes(std::vector<int>* waiting_times) {
if (!waiting_times) {
return;
}
waiting_times->assign(waiting_times_, waiting_times_ + len_waiting_times_);
ResetWaitingTimeStatistics();
}
int StatisticsCalculator::CalculateQ14Ratio(uint32_t numerator,
uint32_t denominator) {
if (numerator == 0) {
return 0;
} else if (numerator < denominator) {
// Ratio must be smaller than 1 in Q14.
assert((numerator << 14) / denominator < (1 << 14));
return (numerator << 14) / denominator;
} else {
// Will not produce a ratio larger than 1, since this is probably an error.
return 1 << 14;
}
}
} // namespace webrtc