/* * Copyright (C) 2013 Google Inc. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are * met: * * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above * copyright notice, this list of conditions and the following disclaimer * in the documentation and/or other materials provided with the * distribution. * * Neither the name of Google Inc. nor the names of its * contributors may be used to endorse or promote products derived from * this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ #include "config.h" #if ENABLE(WEB_AUDIO) #include "platform/audio/DownSampler.h" #include "wtf/MathExtras.h" namespace WebCore { DownSampler::DownSampler(size_t inputBlockSize) : m_inputBlockSize(inputBlockSize) , m_reducedKernel(DefaultKernelSize / 2) , m_convolver(inputBlockSize / 2) // runs at 1/2 source sample-rate , m_tempBuffer(inputBlockSize / 2) , m_inputBuffer(inputBlockSize * 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 = DefaultKernelSize; int halfSize = n / 2; // Half-band filter. double sincScaleFactor = 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 = sincScaleFactor * piDouble * (i - halfSize); double sinc = !s ? 1.0 : sin(s) / s; sinc *= sincScaleFactor; // 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. m_reducedKernel[(i - 1) / 2] = sinc * window; } } void DownSampler::process(const float* sourceP, float* destP, size_t sourceFramesToProcess) { bool isInputBlockSizeGood = sourceFramesToProcess == m_inputBlockSize; ASSERT(isInputBlockSizeGood); if (!isInputBlockSizeGood) return; size_t destFramesToProcess = sourceFramesToProcess / 2; bool isTempBufferGood = destFramesToProcess == m_tempBuffer.size(); ASSERT(isTempBufferGood); if (!isTempBufferGood) return; bool isReducedKernelGood = m_reducedKernel.size() == DefaultKernelSize / 2; ASSERT(isReducedKernelGood); if (!isReducedKernelGood) return; size_t halfSize = DefaultKernelSize / 2; // Copy source samples to 2nd half of input buffer. bool isInputBufferGood = m_inputBuffer.size() == sourceFramesToProcess * 2 && halfSize <= sourceFramesToProcess; ASSERT(isInputBufferGood); if (!isInputBufferGood) return; float* inputP = m_inputBuffer.data() + sourceFramesToProcess; memcpy(inputP, sourceP, sizeof(float) * sourceFramesToProcess); // 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* oddSamplesP = m_tempBuffer.data(); for (unsigned i = 0; i < destFramesToProcess; ++i) oddSamplesP[i] = *((inputP - 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). m_convolver.process(&m_reducedKernel, oddSamplesP, destP, destFramesToProcess); // 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 < destFramesToProcess; ++i) destP[i] += 0.5 * *((inputP - halfSize) + i * 2); // Copy 2nd half of input buffer to 1st half. memcpy(m_inputBuffer.data(), inputP, sizeof(float) * sourceFramesToProcess); } void DownSampler::reset() { m_convolver.reset(); m_inputBuffer.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 m_reducedKernel.size() / 2; } } // namespace WebCore #endif // ENABLE(WEB_AUDIO)