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authorChris Robinson <[email protected]>2023-01-18 16:43:43 -0800
committerChris Robinson <[email protected]>2023-01-18 16:43:43 -0800
commitbbf49400da1bd803ca54d2512e5f025ea19d834f (patch)
tree1e7c00fc825a297170edb4d2585d01d9fa0e33a4
parent3f2e6218955d8848ff0a67112941e680665a37db (diff)
Use constexpr variables instead of macros
-rw-r--r--alc/effects/pshifter.cpp108
1 files changed, 57 insertions, 51 deletions
diff --git a/alc/effects/pshifter.cpp b/alc/effects/pshifter.cpp
index 8619b334..625edc92 100644
--- a/alc/effects/pshifter.cpp
+++ b/alc/effects/pshifter.cpp
@@ -49,27 +49,27 @@ namespace {
using uint = unsigned int;
using complex_d = std::complex<double>;
-#define STFT_SIZE 1024
-#define STFT_HALF_SIZE (STFT_SIZE>>1)
-#define OVERSAMP (1<<2)
+constexpr size_t StftSize{1024};
+constexpr size_t StftHalfSize{StftSize >> 1};
+constexpr size_t OversampleFactor{4};
-#define STFT_STEP (STFT_SIZE / OVERSAMP)
-#define FIFO_LATENCY (STFT_STEP * (OVERSAMP-1))
+static_assert(StftSize%OversampleFactor == 0, "Factor must be a clean divisor of the size");
+constexpr size_t StftStep{StftSize / OversampleFactor};
/* Define a Hann window, used to filter the STFT input and output. */
-std::array<double,STFT_SIZE> InitHannWindow()
+std::array<double,StftSize> InitHannWindow()
{
- std::array<double,STFT_SIZE> ret;
- /* Create lookup table of the Hann window for the desired size, i.e. STFT_SIZE */
- for(size_t i{0};i < STFT_SIZE>>1;i++)
+ std::array<double,StftSize> ret;
+ /* Create lookup table of the Hann window for the desired size. */
+ for(size_t i{0};i < StftHalfSize;i++)
{
- constexpr double scale{al::numbers::pi / double{STFT_SIZE}};
+ constexpr double scale{al::numbers::pi / double{StftSize}};
const double val{std::sin((static_cast<double>(i)+0.5) * scale)};
- ret[i] = ret[STFT_SIZE-1-i] = val * val;
+ ret[i] = ret[StftSize-1-i] = val * val;
}
return ret;
}
-alignas(16) const std::array<double,STFT_SIZE> HannWindow = InitHannWindow();
+alignas(16) const std::array<double,StftSize> HannWindow = InitHannWindow();
struct FrequencyBin {
@@ -86,15 +86,15 @@ struct PshifterState final : public EffectState {
double mPitchShift;
/* Effects buffers */
- std::array<double,STFT_SIZE> mFIFO;
- std::array<double,STFT_HALF_SIZE+1> mLastPhase;
- std::array<double,STFT_HALF_SIZE+1> mSumPhase;
- std::array<double,STFT_SIZE> mOutputAccum;
+ std::array<double,StftSize> mFIFO;
+ std::array<double,StftHalfSize+1> mLastPhase;
+ std::array<double,StftHalfSize+1> mSumPhase;
+ std::array<double,StftSize> mOutputAccum;
- std::array<complex_d,STFT_SIZE> mFftBuffer;
+ std::array<complex_d,StftSize> mFftBuffer;
- std::array<FrequencyBin,STFT_HALF_SIZE+1> mAnalysisBuffer;
- std::array<FrequencyBin,STFT_HALF_SIZE+1> mSynthesisBuffer;
+ std::array<FrequencyBin,StftHalfSize+1> mAnalysisBuffer;
+ std::array<FrequencyBin,StftHalfSize+1> mSynthesisBuffer;
alignas(16) FloatBufferLine mBufferOut;
@@ -116,7 +116,7 @@ void PshifterState::deviceUpdate(const DeviceBase*, const Buffer&)
{
/* (Re-)initializing parameters and clear the buffers. */
mCount = 0;
- mPos = FIFO_LATENCY;
+ mPos = StftSize - StftStep;
mPitchShiftI = MixerFracOne;
mPitchShift = 1.0;
@@ -146,7 +146,8 @@ void PshifterState::update(const ContextBase*, const EffectSlot *slot,
ComputePanGains(target.Main, coeffs.data(), slot->Gain, mTargetGains);
}
-void PshifterState::process(const size_t samplesToDo, const al::span<const FloatBufferLine> samplesIn, const al::span<FloatBufferLine> samplesOut)
+void PshifterState::process(const size_t samplesToDo,
+ const al::span<const FloatBufferLine> samplesIn, const al::span<FloatBufferLine> samplesOut)
{
/* Pitch shifter engine based on the work of Stephan Bernsee.
* http://blogs.zynaptiq.com/bernsee/pitch-shifting-using-the-ft/
@@ -155,11 +156,11 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float
/* Cycle offset per update expected of each frequency bin (bin 0 is none,
* bin 1 is x1, bin 2 is x2, etc).
*/
- constexpr double expected_cycles{al::numbers::pi*2.0 / OVERSAMP};
+ constexpr double expected_cycles{al::numbers::pi*2.0 / OversampleFactor};
for(size_t base{0u};base < samplesToDo;)
{
- const size_t todo{minz(STFT_STEP-mCount, samplesToDo-base)};
+ const size_t todo{minz(StftStep-mCount, samplesToDo-base)};
/* Retrieve the output samples from the FIFO and fill in the new input
* samples.
@@ -173,23 +174,23 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float
base += todo;
/* Check whether FIFO buffer is filled with new samples. */
- if(mCount < STFT_STEP) break;
+ if(mCount < StftStep) break;
mCount = 0;
- mPos = (mPos+STFT_STEP) & (mFIFO.size()-1);
+ mPos = (mPos+StftStep) & (mFIFO.size()-1);
/* Time-domain signal windowing, store in FftBuffer, and apply a
* forward FFT to get the frequency-domain signal.
*/
- for(size_t src{mPos}, k{0u};src < STFT_SIZE;++src,++k)
+ for(size_t src{mPos}, k{0u};src < StftSize;++src,++k)
mFftBuffer[k] = mFIFO[src] * HannWindow[k];
- for(size_t src{0u}, k{STFT_SIZE-mPos};src < mPos;++src,++k)
+ for(size_t src{0u}, k{StftSize-mPos};src < mPos;++src,++k)
mFftBuffer[k] = mFIFO[src] * HannWindow[k];
forward_fft(al::as_span(mFftBuffer));
/* Analyze the obtained data. Since the real FFT is symmetric, only
- * STFT_HALF_SIZE+1 samples are needed.
+ * StftHalfSize+1 samples are needed.
*/
- for(size_t k{0u};k < STFT_HALF_SIZE+1;k++)
+ for(size_t k{0u};k < StftHalfSize+1;k++)
{
const double magnitude{std::abs(mFftBuffer[k])};
const double phase{std::arg(mFftBuffer[k])};
@@ -197,21 +198,24 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float
/* Compute the phase difference from the last update and subtract
* the expected phase difference for this bin.
*
- * When oversampling, the expected offset increments by 1/OVERSAMP
- * for every frequency bin. So, the offset wraps every 'OVERSAMP'
- * bin.
+ * When oversampling, the expected per-update offset increments by
+ * 1/OversampleFactor for every frequency bin. So, the offset wraps
+ * every 'OversampleFactor' bin.
*/
- const double expected_diff{static_cast<double>(k&(OVERSAMP-1)) * expected_cycles};
- double tmp{(phase - mLastPhase[k]) - expected_diff};
- /* Store the actual phase[k] for the next update. */
+ const auto bin_offset = static_cast<double>(k % OversampleFactor);
+ double tmp{(phase - mLastPhase[k]) - bin_offset*expected_cycles};
+ /* Store the actual phase for the next update. */
mLastPhase[k] = phase;
- /* Wrap the phase delta between -pi and +pi. */
- int qpd{double2int(tmp * al::numbers::inv_pi)};
- tmp -= al::numbers::pi * (qpd + (qpd%2));
+ /* Normalize from pi, and wrap the delta between -1 and +1. */
+ tmp *= al::numbers::inv_pi;
+ int qpd{double2int(tmp)};
+ tmp -= qpd + (qpd%2);
- /* Get deviation from bin frequency, accounting for oversampling. */
- tmp *= OVERSAMP * al::numbers::inv_pi * 0.5;
+ /* Get deviation from bin frequency (-0.5 to +0.5), and account for
+ * oversampling.
+ */
+ tmp *= 0.5 * OversampleFactor;
/* Compute the k-th partials' frequency bin target and store the
* magnitude and frequency bin in the analysis buffer. We don't
@@ -227,8 +231,8 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float
*/
std::fill(mSynthesisBuffer.begin(), mSynthesisBuffer.end(), FrequencyBin{});
- constexpr size_t bin_limit{((STFT_HALF_SIZE+1)<<MixerFracBits) - MixerFracHalf - 1};
- const size_t bin_count{minz(STFT_HALF_SIZE+1, bin_limit/mPitchShiftI + 1)};
+ constexpr size_t bin_limit{((StftHalfSize+1)<<MixerFracBits) - MixerFracHalf - 1};
+ const size_t bin_count{minz(StftHalfSize+1, bin_limit/mPitchShiftI + 1)};
for(size_t k{0u};k < bin_count;k++)
{
const size_t j{(k*mPitchShiftI + MixerFracHalf) >> MixerFracBits};
@@ -245,7 +249,7 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float
/* Reconstruct the frequency-domain signal from the adjusted frequency
* bins.
*/
- for(size_t k{0u};k < STFT_HALF_SIZE+1;k++)
+ for(size_t k{0u};k < StftHalfSize+1;k++)
{
/* Calculate the actual delta phase for this bin's target frequency
* bin, and accumulate it to get the actual bin phase.
@@ -262,21 +266,23 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float
mFftBuffer[k] = std::polar(mSynthesisBuffer[k].Magnitude, mSumPhase[k]);
}
- for(size_t k{STFT_HALF_SIZE+1};k < STFT_SIZE;++k)
- mFftBuffer[k] = std::conj(mFftBuffer[STFT_SIZE-k]);
+ for(size_t k{StftHalfSize+1};k < StftSize;++k)
+ mFftBuffer[k] = std::conj(mFftBuffer[StftSize-k]);
/* Apply an inverse FFT to get the time-domain signal, and accumulate
* for the output with windowing.
*/
inverse_fft(al::as_span(mFftBuffer));
- for(size_t dst{mPos}, k{0u};dst < STFT_SIZE;++dst,++k)
- mOutputAccum[dst] += HannWindow[k]*mFftBuffer[k].real() * (4.0/OVERSAMP/STFT_SIZE);
- for(size_t dst{0u}, k{STFT_SIZE-mPos};dst < mPos;++dst,++k)
- mOutputAccum[dst] += HannWindow[k]*mFftBuffer[k].real() * (4.0/OVERSAMP/STFT_SIZE);
+
+ static constexpr double scale{4.0 / OversampleFactor / StftSize};
+ for(size_t dst{mPos}, k{0u};dst < StftSize;++dst,++k)
+ mOutputAccum[dst] += HannWindow[k]*mFftBuffer[k].real() * scale;
+ for(size_t dst{0u}, k{StftSize-mPos};dst < mPos;++dst,++k)
+ mOutputAccum[dst] += HannWindow[k]*mFftBuffer[k].real() * scale;
/* Copy out the accumulated result, then clear for the next iteration. */
- std::copy_n(mOutputAccum.begin() + mPos, STFT_STEP, mFIFO.begin() + mPos);
- std::fill_n(mOutputAccum.begin() + mPos, STFT_STEP, 0.0);
+ std::copy_n(mOutputAccum.begin() + mPos, StftStep, mFIFO.begin() + mPos);
+ std::fill_n(mOutputAccum.begin() + mPos, StftStep, 0.0);
}
/* Now, mix the processed sound data to the output. */