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Unified Diff: webrtc/modules/audio_processing/utility/delay_estimator.c

Issue 1878613002: Changed the delay estimator to be built using C++ (Closed) Base URL: https://chromium.googlesource.com/external/webrtc.git@master
Patch Set: Rebase with latest master Created 4 years, 8 months ago
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Index: webrtc/modules/audio_processing/utility/delay_estimator.c
diff --git a/webrtc/modules/audio_processing/utility/delay_estimator.c b/webrtc/modules/audio_processing/utility/delay_estimator.c
deleted file mode 100644
index f9f3dc24571a7657913534ce8225bdaf486d417b..0000000000000000000000000000000000000000
--- a/webrtc/modules/audio_processing/utility/delay_estimator.c
+++ /dev/null
@@ -1,684 +0,0 @@
-/*
- * Copyright (c) 2012 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_processing/utility/delay_estimator.h"
-
-#include <assert.h>
-#include <stdlib.h>
-#include <string.h>
-
-// Number of right shifts for scaling is linearly depending on number of bits in
-// the far-end binary spectrum.
-static const int kShiftsAtZero = 13; // Right shifts at zero binary spectrum.
-static const int kShiftsLinearSlope = 3;
-
-static const int32_t kProbabilityOffset = 1024; // 2 in Q9.
-static const int32_t kProbabilityLowerLimit = 8704; // 17 in Q9.
-static const int32_t kProbabilityMinSpread = 2816; // 5.5 in Q9.
-
-// Robust validation settings
-static const float kHistogramMax = 3000.f;
-static const float kLastHistogramMax = 250.f;
-static const float kMinHistogramThreshold = 1.5f;
-static const int kMinRequiredHits = 10;
-static const int kMaxHitsWhenPossiblyNonCausal = 10;
-static const int kMaxHitsWhenPossiblyCausal = 1000;
-static const float kQ14Scaling = 1.f / (1 << 14); // Scaling by 2^14 to get Q0.
-static const float kFractionSlope = 0.05f;
-static const float kMinFractionWhenPossiblyCausal = 0.5f;
-static const float kMinFractionWhenPossiblyNonCausal = 0.25f;
-
-// Counts and returns number of bits of a 32-bit word.
-static int BitCount(uint32_t u32) {
- uint32_t tmp = u32 - ((u32 >> 1) & 033333333333) -
- ((u32 >> 2) & 011111111111);
- tmp = ((tmp + (tmp >> 3)) & 030707070707);
- tmp = (tmp + (tmp >> 6));
- tmp = (tmp + (tmp >> 12) + (tmp >> 24)) & 077;
-
- return ((int) tmp);
-}
-
-// Compares the |binary_vector| with all rows of the |binary_matrix| and counts
-// per row the number of times they have the same value.
-//
-// Inputs:
-// - binary_vector : binary "vector" stored in a long
-// - binary_matrix : binary "matrix" stored as a vector of long
-// - matrix_size : size of binary "matrix"
-//
-// Output:
-// - bit_counts : "Vector" stored as a long, containing for each
-// row the number of times the matrix row and the
-// input vector have the same value
-//
-static void BitCountComparison(uint32_t binary_vector,
- const uint32_t* binary_matrix,
- int matrix_size,
- int32_t* bit_counts) {
- int n = 0;
-
- // Compare |binary_vector| with all rows of the |binary_matrix|
- for (; n < matrix_size; n++) {
- bit_counts[n] = (int32_t) BitCount(binary_vector ^ binary_matrix[n]);
- }
-}
-
-// Collects necessary statistics for the HistogramBasedValidation(). This
-// function has to be called prior to calling HistogramBasedValidation(). The
-// statistics updated and used by the HistogramBasedValidation() are:
-// 1. the number of |candidate_hits|, which states for how long we have had the
-// same |candidate_delay|
-// 2. the |histogram| of candidate delays over time. This histogram is
-// weighted with respect to a reliability measure and time-varying to cope
-// with possible delay shifts.
-// For further description see commented code.
-//
-// Inputs:
-// - candidate_delay : The delay to validate.
-// - valley_depth_q14 : The cost function has a valley/minimum at the
-// |candidate_delay| location. |valley_depth_q14| is the
-// cost function difference between the minimum and
-// maximum locations. The value is in the Q14 domain.
-// - valley_level_q14 : Is the cost function value at the minimum, in Q14.
-static void UpdateRobustValidationStatistics(BinaryDelayEstimator* self,
- int candidate_delay,
- int32_t valley_depth_q14,
- int32_t valley_level_q14) {
- const float valley_depth = valley_depth_q14 * kQ14Scaling;
- float decrease_in_last_set = valley_depth;
- const int max_hits_for_slow_change = (candidate_delay < self->last_delay) ?
- kMaxHitsWhenPossiblyNonCausal : kMaxHitsWhenPossiblyCausal;
- int i = 0;
-
- assert(self->history_size == self->farend->history_size);
- // Reset |candidate_hits| if we have a new candidate.
- if (candidate_delay != self->last_candidate_delay) {
- self->candidate_hits = 0;
- self->last_candidate_delay = candidate_delay;
- }
- self->candidate_hits++;
-
- // The |histogram| is updated differently across the bins.
- // 1. The |candidate_delay| histogram bin is increased with the
- // |valley_depth|, which is a simple measure of how reliable the
- // |candidate_delay| is. The histogram is not increased above
- // |kHistogramMax|.
- self->histogram[candidate_delay] += valley_depth;
- if (self->histogram[candidate_delay] > kHistogramMax) {
- self->histogram[candidate_delay] = kHistogramMax;
- }
- // 2. The histogram bins in the neighborhood of |candidate_delay| are
- // unaffected. The neighborhood is defined as x + {-2, -1, 0, 1}.
- // 3. The histogram bins in the neighborhood of |last_delay| are decreased
- // with |decrease_in_last_set|. This value equals the difference between
- // the cost function values at the locations |candidate_delay| and
- // |last_delay| until we reach |max_hits_for_slow_change| consecutive hits
- // at the |candidate_delay|. If we exceed this amount of hits the
- // |candidate_delay| is a "potential" candidate and we start decreasing
- // these histogram bins more rapidly with |valley_depth|.
- if (self->candidate_hits < max_hits_for_slow_change) {
- decrease_in_last_set = (self->mean_bit_counts[self->compare_delay] -
- valley_level_q14) * kQ14Scaling;
- }
- // 4. All other bins are decreased with |valley_depth|.
- // TODO(bjornv): Investigate how to make this loop more efficient. Split up
- // the loop? Remove parts that doesn't add too much.
- for (i = 0; i < self->history_size; ++i) {
- int is_in_last_set = (i >= self->last_delay - 2) &&
- (i <= self->last_delay + 1) && (i != candidate_delay);
- int is_in_candidate_set = (i >= candidate_delay - 2) &&
- (i <= candidate_delay + 1);
- self->histogram[i] -= decrease_in_last_set * is_in_last_set +
- valley_depth * (!is_in_last_set && !is_in_candidate_set);
- // 5. No histogram bin can go below 0.
- if (self->histogram[i] < 0) {
- self->histogram[i] = 0;
- }
- }
-}
-
-// Validates the |candidate_delay|, estimated in WebRtc_ProcessBinarySpectrum(),
-// based on a mix of counting concurring hits with a modified histogram
-// of recent delay estimates. In brief a candidate is valid (returns 1) if it
-// is the most likely according to the histogram. There are a couple of
-// exceptions that are worth mentioning:
-// 1. If the |candidate_delay| < |last_delay| it can be that we are in a
-// non-causal state, breaking a possible echo control algorithm. Hence, we
-// open up for a quicker change by allowing the change even if the
-// |candidate_delay| is not the most likely one according to the histogram.
-// 2. There's a minimum number of hits (kMinRequiredHits) and the histogram
-// value has to reached a minimum (kMinHistogramThreshold) to be valid.
-// 3. The action is also depending on the filter length used for echo control.
-// If the delay difference is larger than what the filter can capture, we
-// also move quicker towards a change.
-// For further description see commented code.
-//
-// Input:
-// - candidate_delay : The delay to validate.
-//
-// Return value:
-// - is_histogram_valid : 1 - The |candidate_delay| is valid.
-// 0 - Otherwise.
-static int HistogramBasedValidation(const BinaryDelayEstimator* self,
- int candidate_delay) {
- float fraction = 1.f;
- float histogram_threshold = self->histogram[self->compare_delay];
- const int delay_difference = candidate_delay - self->last_delay;
- int is_histogram_valid = 0;
-
- // The histogram based validation of |candidate_delay| is done by comparing
- // the |histogram| at bin |candidate_delay| with a |histogram_threshold|.
- // This |histogram_threshold| equals a |fraction| of the |histogram| at bin
- // |last_delay|. The |fraction| is a piecewise linear function of the
- // |delay_difference| between the |candidate_delay| and the |last_delay|
- // allowing for a quicker move if
- // i) a potential echo control filter can not handle these large differences.
- // ii) keeping |last_delay| instead of updating to |candidate_delay| could
- // force an echo control into a non-causal state.
- // We further require the histogram to have reached a minimum value of
- // |kMinHistogramThreshold|. In addition, we also require the number of
- // |candidate_hits| to be more than |kMinRequiredHits| to remove spurious
- // values.
-
- // Calculate a comparison histogram value (|histogram_threshold|) that is
- // depending on the distance between the |candidate_delay| and |last_delay|.
- // TODO(bjornv): How much can we gain by turning the fraction calculation
- // into tables?
- if (delay_difference > self->allowed_offset) {
- fraction = 1.f - kFractionSlope * (delay_difference - self->allowed_offset);
- fraction = (fraction > kMinFractionWhenPossiblyCausal ? fraction :
- kMinFractionWhenPossiblyCausal);
- } else if (delay_difference < 0) {
- fraction = kMinFractionWhenPossiblyNonCausal -
- kFractionSlope * delay_difference;
- fraction = (fraction > 1.f ? 1.f : fraction);
- }
- histogram_threshold *= fraction;
- histogram_threshold = (histogram_threshold > kMinHistogramThreshold ?
- histogram_threshold : kMinHistogramThreshold);
-
- is_histogram_valid =
- (self->histogram[candidate_delay] >= histogram_threshold) &&
- (self->candidate_hits > kMinRequiredHits);
-
- return is_histogram_valid;
-}
-
-// Performs a robust validation of the |candidate_delay| estimated in
-// WebRtc_ProcessBinarySpectrum(). The algorithm takes the
-// |is_instantaneous_valid| and the |is_histogram_valid| and combines them
-// into a robust validation. The HistogramBasedValidation() has to be called
-// prior to this call.
-// For further description on how the combination is done, see commented code.
-//
-// Inputs:
-// - candidate_delay : The delay to validate.
-// - is_instantaneous_valid : The instantaneous validation performed in
-// WebRtc_ProcessBinarySpectrum().
-// - is_histogram_valid : The histogram based validation.
-//
-// Return value:
-// - is_robust : 1 - The candidate_delay is valid according to a
-// combination of the two inputs.
-// : 0 - Otherwise.
-static int RobustValidation(const BinaryDelayEstimator* self,
- int candidate_delay,
- int is_instantaneous_valid,
- int is_histogram_valid) {
- int is_robust = 0;
-
- // The final robust validation is based on the two algorithms; 1) the
- // |is_instantaneous_valid| and 2) the histogram based with result stored in
- // |is_histogram_valid|.
- // i) Before we actually have a valid estimate (|last_delay| == -2), we say
- // a candidate is valid if either algorithm states so
- // (|is_instantaneous_valid| OR |is_histogram_valid|).
- is_robust = (self->last_delay < 0) &&
- (is_instantaneous_valid || is_histogram_valid);
- // ii) Otherwise, we need both algorithms to be certain
- // (|is_instantaneous_valid| AND |is_histogram_valid|)
- is_robust |= is_instantaneous_valid && is_histogram_valid;
- // iii) With one exception, i.e., the histogram based algorithm can overrule
- // the instantaneous one if |is_histogram_valid| = 1 and the histogram
- // is significantly strong.
- is_robust |= is_histogram_valid &&
- (self->histogram[candidate_delay] > self->last_delay_histogram);
-
- return is_robust;
-}
-
-void WebRtc_FreeBinaryDelayEstimatorFarend(BinaryDelayEstimatorFarend* self) {
-
- if (self == NULL) {
- return;
- }
-
- free(self->binary_far_history);
- self->binary_far_history = NULL;
-
- free(self->far_bit_counts);
- self->far_bit_counts = NULL;
-
- free(self);
-}
-
-BinaryDelayEstimatorFarend* WebRtc_CreateBinaryDelayEstimatorFarend(
- int history_size) {
- BinaryDelayEstimatorFarend* self = NULL;
-
- if (history_size > 1) {
- // Sanity conditions fulfilled.
- self = malloc(sizeof(BinaryDelayEstimatorFarend));
- }
- if (self == NULL) {
- return NULL;
- }
-
- self->history_size = 0;
- self->binary_far_history = NULL;
- self->far_bit_counts = NULL;
- if (WebRtc_AllocateFarendBufferMemory(self, history_size) == 0) {
- WebRtc_FreeBinaryDelayEstimatorFarend(self);
- self = NULL;
- }
- return self;
-}
-
-int WebRtc_AllocateFarendBufferMemory(BinaryDelayEstimatorFarend* self,
- int history_size) {
- assert(self != NULL);
- // (Re-)Allocate memory for history buffers.
- self->binary_far_history =
- realloc(self->binary_far_history,
- history_size * sizeof(*self->binary_far_history));
- self->far_bit_counts = realloc(self->far_bit_counts,
- history_size * sizeof(*self->far_bit_counts));
- if ((self->binary_far_history == NULL) || (self->far_bit_counts == NULL)) {
- history_size = 0;
- }
- // Fill with zeros if we have expanded the buffers.
- if (history_size > self->history_size) {
- int size_diff = history_size - self->history_size;
- memset(&self->binary_far_history[self->history_size],
- 0,
- sizeof(*self->binary_far_history) * size_diff);
- memset(&self->far_bit_counts[self->history_size],
- 0,
- sizeof(*self->far_bit_counts) * size_diff);
- }
- self->history_size = history_size;
-
- return self->history_size;
-}
-
-void WebRtc_InitBinaryDelayEstimatorFarend(BinaryDelayEstimatorFarend* self) {
- assert(self != NULL);
- memset(self->binary_far_history, 0, sizeof(uint32_t) * self->history_size);
- memset(self->far_bit_counts, 0, sizeof(int) * self->history_size);
-}
-
-void WebRtc_SoftResetBinaryDelayEstimatorFarend(
- BinaryDelayEstimatorFarend* self, int delay_shift) {
- int abs_shift = abs(delay_shift);
- int shift_size = 0;
- int dest_index = 0;
- int src_index = 0;
- int padding_index = 0;
-
- assert(self != NULL);
- shift_size = self->history_size - abs_shift;
- assert(shift_size > 0);
- if (delay_shift == 0) {
- return;
- } else if (delay_shift > 0) {
- dest_index = abs_shift;
- } else if (delay_shift < 0) {
- src_index = abs_shift;
- padding_index = shift_size;
- }
-
- // Shift and zero pad buffers.
- memmove(&self->binary_far_history[dest_index],
- &self->binary_far_history[src_index],
- sizeof(*self->binary_far_history) * shift_size);
- memset(&self->binary_far_history[padding_index], 0,
- sizeof(*self->binary_far_history) * abs_shift);
- memmove(&self->far_bit_counts[dest_index],
- &self->far_bit_counts[src_index],
- sizeof(*self->far_bit_counts) * shift_size);
- memset(&self->far_bit_counts[padding_index], 0,
- sizeof(*self->far_bit_counts) * abs_shift);
-}
-
-void WebRtc_AddBinaryFarSpectrum(BinaryDelayEstimatorFarend* handle,
- uint32_t binary_far_spectrum) {
- assert(handle != NULL);
- // Shift binary spectrum history and insert current |binary_far_spectrum|.
- memmove(&(handle->binary_far_history[1]), &(handle->binary_far_history[0]),
- (handle->history_size - 1) * sizeof(uint32_t));
- handle->binary_far_history[0] = binary_far_spectrum;
-
- // Shift history of far-end binary spectrum bit counts and insert bit count
- // of current |binary_far_spectrum|.
- memmove(&(handle->far_bit_counts[1]), &(handle->far_bit_counts[0]),
- (handle->history_size - 1) * sizeof(int));
- handle->far_bit_counts[0] = BitCount(binary_far_spectrum);
-}
-
-void WebRtc_FreeBinaryDelayEstimator(BinaryDelayEstimator* self) {
-
- if (self == NULL) {
- return;
- }
-
- free(self->mean_bit_counts);
- self->mean_bit_counts = NULL;
-
- free(self->bit_counts);
- self->bit_counts = NULL;
-
- free(self->binary_near_history);
- self->binary_near_history = NULL;
-
- free(self->histogram);
- self->histogram = NULL;
-
- // BinaryDelayEstimator does not have ownership of |farend|, hence we do not
- // free the memory here. That should be handled separately by the user.
- self->farend = NULL;
-
- free(self);
-}
-
-BinaryDelayEstimator* WebRtc_CreateBinaryDelayEstimator(
- BinaryDelayEstimatorFarend* farend, int max_lookahead) {
- BinaryDelayEstimator* self = NULL;
-
- if ((farend != NULL) && (max_lookahead >= 0)) {
- // Sanity conditions fulfilled.
- self = malloc(sizeof(BinaryDelayEstimator));
- }
- if (self == NULL) {
- return NULL;
- }
-
- self->farend = farend;
- self->near_history_size = max_lookahead + 1;
- self->history_size = 0;
- self->robust_validation_enabled = 0; // Disabled by default.
- self->allowed_offset = 0;
-
- self->lookahead = max_lookahead;
-
- // Allocate memory for spectrum and history buffers.
- self->mean_bit_counts = NULL;
- self->bit_counts = NULL;
- self->histogram = NULL;
- self->binary_near_history =
- malloc((max_lookahead + 1) * sizeof(*self->binary_near_history));
- if (self->binary_near_history == NULL ||
- WebRtc_AllocateHistoryBufferMemory(self, farend->history_size) == 0) {
- WebRtc_FreeBinaryDelayEstimator(self);
- self = NULL;
- }
-
- return self;
-}
-
-int WebRtc_AllocateHistoryBufferMemory(BinaryDelayEstimator* self,
- int history_size) {
- BinaryDelayEstimatorFarend* far = self->farend;
- // (Re-)Allocate memory for spectrum and history buffers.
- if (history_size != far->history_size) {
- // Only update far-end buffers if we need.
- history_size = WebRtc_AllocateFarendBufferMemory(far, history_size);
- }
- // The extra array element in |mean_bit_counts| and |histogram| is a dummy
- // element only used while |last_delay| == -2, i.e., before we have a valid
- // estimate.
- self->mean_bit_counts =
- realloc(self->mean_bit_counts,
- (history_size + 1) * sizeof(*self->mean_bit_counts));
- self->bit_counts =
- realloc(self->bit_counts, history_size * sizeof(*self->bit_counts));
- self->histogram =
- realloc(self->histogram, (history_size + 1) * sizeof(*self->histogram));
-
- if ((self->mean_bit_counts == NULL) ||
- (self->bit_counts == NULL) ||
- (self->histogram == NULL)) {
- history_size = 0;
- }
- // Fill with zeros if we have expanded the buffers.
- if (history_size > self->history_size) {
- int size_diff = history_size - self->history_size;
- memset(&self->mean_bit_counts[self->history_size],
- 0,
- sizeof(*self->mean_bit_counts) * size_diff);
- memset(&self->bit_counts[self->history_size],
- 0,
- sizeof(*self->bit_counts) * size_diff);
- memset(&self->histogram[self->history_size],
- 0,
- sizeof(*self->histogram) * size_diff);
- }
- self->history_size = history_size;
-
- return self->history_size;
-}
-
-void WebRtc_InitBinaryDelayEstimator(BinaryDelayEstimator* self) {
- int i = 0;
- assert(self != NULL);
-
- memset(self->bit_counts, 0, sizeof(int32_t) * self->history_size);
- memset(self->binary_near_history,
- 0,
- sizeof(uint32_t) * self->near_history_size);
- for (i = 0; i <= self->history_size; ++i) {
- self->mean_bit_counts[i] = (20 << 9); // 20 in Q9.
- self->histogram[i] = 0.f;
- }
- self->minimum_probability = kMaxBitCountsQ9; // 32 in Q9.
- self->last_delay_probability = (int) kMaxBitCountsQ9; // 32 in Q9.
-
- // Default return value if we're unable to estimate. -1 is used for errors.
- self->last_delay = -2;
-
- self->last_candidate_delay = -2;
- self->compare_delay = self->history_size;
- self->candidate_hits = 0;
- self->last_delay_histogram = 0.f;
-}
-
-int WebRtc_SoftResetBinaryDelayEstimator(BinaryDelayEstimator* self,
- int delay_shift) {
- int lookahead = 0;
- assert(self != NULL);
- lookahead = self->lookahead;
- self->lookahead -= delay_shift;
- if (self->lookahead < 0) {
- self->lookahead = 0;
- }
- if (self->lookahead > self->near_history_size - 1) {
- self->lookahead = self->near_history_size - 1;
- }
- return lookahead - self->lookahead;
-}
-
-int WebRtc_ProcessBinarySpectrum(BinaryDelayEstimator* self,
- uint32_t binary_near_spectrum) {
- int i = 0;
- int candidate_delay = -1;
- int valid_candidate = 0;
-
- int32_t value_best_candidate = kMaxBitCountsQ9;
- int32_t value_worst_candidate = 0;
- int32_t valley_depth = 0;
-
- assert(self != NULL);
- if (self->farend->history_size != self->history_size) {
- // Non matching history sizes.
- return -1;
- }
- if (self->near_history_size > 1) {
- // If we apply lookahead, shift near-end binary spectrum history. Insert
- // current |binary_near_spectrum| and pull out the delayed one.
- memmove(&(self->binary_near_history[1]), &(self->binary_near_history[0]),
- (self->near_history_size - 1) * sizeof(uint32_t));
- self->binary_near_history[0] = binary_near_spectrum;
- binary_near_spectrum = self->binary_near_history[self->lookahead];
- }
-
- // Compare with delayed spectra and store the |bit_counts| for each delay.
- BitCountComparison(binary_near_spectrum, self->farend->binary_far_history,
- self->history_size, self->bit_counts);
-
- // Update |mean_bit_counts|, which is the smoothed version of |bit_counts|.
- for (i = 0; i < self->history_size; i++) {
- // |bit_counts| is constrained to [0, 32], meaning we can smooth with a
- // factor up to 2^26. We use Q9.
- int32_t bit_count = (self->bit_counts[i] << 9); // Q9.
-
- // Update |mean_bit_counts| only when far-end signal has something to
- // contribute. If |far_bit_counts| is zero the far-end signal is weak and
- // we likely have a poor echo condition, hence don't update.
- if (self->farend->far_bit_counts[i] > 0) {
- // Make number of right shifts piecewise linear w.r.t. |far_bit_counts|.
- int shifts = kShiftsAtZero;
- shifts -= (kShiftsLinearSlope * self->farend->far_bit_counts[i]) >> 4;
- WebRtc_MeanEstimatorFix(bit_count, shifts, &(self->mean_bit_counts[i]));
- }
- }
-
- // Find |candidate_delay|, |value_best_candidate| and |value_worst_candidate|
- // of |mean_bit_counts|.
- for (i = 0; i < self->history_size; i++) {
- if (self->mean_bit_counts[i] < value_best_candidate) {
- value_best_candidate = self->mean_bit_counts[i];
- candidate_delay = i;
- }
- if (self->mean_bit_counts[i] > value_worst_candidate) {
- value_worst_candidate = self->mean_bit_counts[i];
- }
- }
- valley_depth = value_worst_candidate - value_best_candidate;
-
- // The |value_best_candidate| is a good indicator on the probability of
- // |candidate_delay| being an accurate delay (a small |value_best_candidate|
- // means a good binary match). In the following sections we make a decision
- // whether to update |last_delay| or not.
- // 1) If the difference bit counts between the best and the worst delay
- // candidates is too small we consider the situation to be unreliable and
- // don't update |last_delay|.
- // 2) If the situation is reliable we update |last_delay| if the value of the
- // best candidate delay has a value less than
- // i) an adaptive threshold |minimum_probability|, or
- // ii) this corresponding value |last_delay_probability|, but updated at
- // this time instant.
-
- // Update |minimum_probability|.
- if ((self->minimum_probability > kProbabilityLowerLimit) &&
- (valley_depth > kProbabilityMinSpread)) {
- // The "hard" threshold can't be lower than 17 (in Q9).
- // The valley in the curve also has to be distinct, i.e., the
- // difference between |value_worst_candidate| and |value_best_candidate| has
- // to be large enough.
- int32_t threshold = value_best_candidate + kProbabilityOffset;
- if (threshold < kProbabilityLowerLimit) {
- threshold = kProbabilityLowerLimit;
- }
- if (self->minimum_probability > threshold) {
- self->minimum_probability = threshold;
- }
- }
- // Update |last_delay_probability|.
- // We use a Markov type model, i.e., a slowly increasing level over time.
- self->last_delay_probability++;
- // Validate |candidate_delay|. We have a reliable instantaneous delay
- // estimate if
- // 1) The valley is distinct enough (|valley_depth| > |kProbabilityOffset|)
- // and
- // 2) The depth of the valley is deep enough
- // (|value_best_candidate| < |minimum_probability|)
- // and deeper than the best estimate so far
- // (|value_best_candidate| < |last_delay_probability|)
- valid_candidate = ((valley_depth > kProbabilityOffset) &&
- ((value_best_candidate < self->minimum_probability) ||
- (value_best_candidate < self->last_delay_probability)));
-
- UpdateRobustValidationStatistics(self, candidate_delay, valley_depth,
- value_best_candidate);
- if (self->robust_validation_enabled) {
- int is_histogram_valid = HistogramBasedValidation(self, candidate_delay);
- valid_candidate = RobustValidation(self, candidate_delay, valid_candidate,
- is_histogram_valid);
-
- }
- if (valid_candidate) {
- if (candidate_delay != self->last_delay) {
- self->last_delay_histogram =
- (self->histogram[candidate_delay] > kLastHistogramMax ?
- kLastHistogramMax : self->histogram[candidate_delay]);
- // Adjust the histogram if we made a change to |last_delay|, though it was
- // not the most likely one according to the histogram.
- if (self->histogram[candidate_delay] <
- self->histogram[self->compare_delay]) {
- self->histogram[self->compare_delay] = self->histogram[candidate_delay];
- }
- }
- self->last_delay = candidate_delay;
- if (value_best_candidate < self->last_delay_probability) {
- self->last_delay_probability = value_best_candidate;
- }
- self->compare_delay = self->last_delay;
- }
-
- return self->last_delay;
-}
-
-int WebRtc_binary_last_delay(BinaryDelayEstimator* self) {
- assert(self != NULL);
- return self->last_delay;
-}
-
-float WebRtc_binary_last_delay_quality(BinaryDelayEstimator* self) {
- float quality = 0;
- assert(self != NULL);
-
- if (self->robust_validation_enabled) {
- // Simply a linear function of the histogram height at delay estimate.
- quality = self->histogram[self->compare_delay] / kHistogramMax;
- } else {
- // Note that |last_delay_probability| states how deep the minimum of the
- // cost function is, so it is rather an error probability.
- quality = (float) (kMaxBitCountsQ9 - self->last_delay_probability) /
- kMaxBitCountsQ9;
- if (quality < 0) {
- quality = 0;
- }
- }
- return quality;
-}
-
-void WebRtc_MeanEstimatorFix(int32_t new_value,
- int factor,
- int32_t* mean_value) {
- int32_t diff = new_value - *mean_value;
-
- // mean_new = mean_value + ((new_value - mean_value) >> factor);
- if (diff < 0) {
- diff = -((-diff) >> factor);
- } else {
- diff = (diff >> factor);
- }
- *mean_value += diff;
-}
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