third_party/WebKit/Source/platform/audio/DownSampler.cpp

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#include "platform/audio/DownSampler.h"
#include "platform/wtf/MathExtras.h"

namespace blink {

DownSampler::DownSampler(size_t input_block_size)
    : input_block_size_(input_block_size),
      reduced_kernel_(kDefaultKernelSize / 2),
      convolver_(input_block_size / 2),  // runs at 1/2 source sample-rate
      temp_buffer_(input_block_size / 2),
      input_buffer_(input_block_size * 2) {
  InitializeKernel();
}

void DownSampler::InitializeKernel() {
  // Blackman window parameters.
  double alpha = 0.16;
  double a0 = 0.5 * (1.0 - alpha);
  double a1 = 0.5;
  double a2 = 0.5 * alpha;

  int n = kDefaultKernelSize;
  int half_size = n / 2;

  // Half-band filter.
  double sinc_scale_factor = 0.5;

  // Compute only the odd terms because the even ones are zero, except right in
  // the middle at halfSize, which is 0.5 and we'll handle specially during
  // processing after doing the main convolution using m_reducedKernel.
  for (int i = 1; i < n; i += 2) {
    // Compute the sinc() with offset.
    double s = sinc_scale_factor * piDouble * (i - half_size);
    double sinc = !s ? 1.0 : sin(s) / s;
    sinc *= sinc_scale_factor;

    // Compute Blackman window, matching the offset of the sinc().
    double x = static_cast<double>(i) / n;
    double window =
        a0 - a1 * cos(twoPiDouble * x) + a2 * cos(twoPiDouble * 2.0 * x);

    // Window the sinc() function.
    // Then store only the odd terms in the kernel.
    // In a sense, this is shifting forward in time by one sample-frame at the
    // destination sample-rate.
    reduced_kernel_[(i - 1) / 2] = sinc * window;
  }
}

void DownSampler::Process(const float* source_p,
                          float* dest_p,
                          size_t source_frames_to_process) {
  bool is_input_block_size_good = source_frames_to_process == input_block_size_;
  DCHECK(is_input_block_size_good);
  if (!is_input_block_size_good)
    return;

  size_t dest_frames_to_process = source_frames_to_process / 2;

  bool is_temp_buffer_good = dest_frames_to_process == temp_buffer_.size();
  DCHECK(is_temp_buffer_good);
  if (!is_temp_buffer_good)
    return;

  bool is_reduced_kernel_good =
      reduced_kernel_.size() == kDefaultKernelSize / 2;
  DCHECK(is_reduced_kernel_good);
  if (!is_reduced_kernel_good)
    return;

  size_t half_size = kDefaultKernelSize / 2;

  // Copy source samples to 2nd half of input buffer.
  bool is_input_buffer_good =
      input_buffer_.size() == source_frames_to_process * 2 &&
      half_size <= source_frames_to_process;
  DCHECK(is_input_buffer_good);
  if (!is_input_buffer_good)
    return;

  float* input_p = input_buffer_.Data() + source_frames_to_process;
  memcpy(input_p, source_p, sizeof(float) * source_frames_to_process);

  // Copy the odd sample-frames from sourceP, delayed by one sample-frame
  // (destination sample-rate) to match shifting forward in time in
  // m_reducedKernel.
  float* odd_samples_p = temp_buffer_.Data();
  for (unsigned i = 0; i < dest_frames_to_process; ++i)
    odd_samples_p[i] = *((input_p - 1) + i * 2);

  // Actually process oddSamplesP with m_reducedKernel for efficiency.
  // The theoretical kernel is double this size with 0 values for even terms
  // (except center).
  convolver_.Process(&reduced_kernel_, odd_samples_p, dest_p,
                     dest_frames_to_process);

  // Now, account for the 0.5 term right in the middle of the kernel.
  // This amounts to a delay-line of length halfSize (at the source
  // sample-rate), scaled by 0.5.

  // Sum into the destination.
  for (unsigned i = 0; i < dest_frames_to_process; ++i)
    dest_p[i] += 0.5 * *((input_p - half_size) + i * 2);

  // Copy 2nd half of input buffer to 1st half.
  memcpy(input_buffer_.Data(), input_p,
         sizeof(float) * source_frames_to_process);
}

void DownSampler::Reset() {
  convolver_.Reset();
  input_buffer_.Zero();
}

size_t DownSampler::LatencyFrames() const {
  // Divide by two since this is a linear phase kernel and the delay is at the
  // center of the kernel.
  return reduced_kernel_.size() / 2;
}

}  // namespace blink