diff options
Diffstat (limited to 'alc/effects')
| -rw-r--r-- | alc/effects/convolution.cpp | 6 | ||||
| -rw-r--r-- | alc/effects/pshifter.cpp | 4 |
2 files changed, 5 insertions, 5 deletions
diff --git a/alc/effects/convolution.cpp b/alc/effects/convolution.cpp index 2a0a0fad..ee7b9e8f 100644 --- a/alc/effects/convolution.cpp +++ b/alc/effects/convolution.cpp @@ -298,7 +298,7 @@ void ConvolutionState::setBuffer(const ALCdevice *device, const BufferStorage *b done += todo; std::fill(iter, fftbuffer->end(), complex_d{}); - complex_fft(*fftbuffer, -1.0); + forward_fft(*fftbuffer); filteriter = std::copy_n(fftbuffer->cbegin(), m, filteriter); } } @@ -418,7 +418,7 @@ void ConvolutionState::process(const size_t samplesToDo, * frequency bins to the FFT history. */ std::copy_n(mInput.cbegin(), ConvolveUpdateSamples, mFftBuffer.begin()); - complex_fft(mFftBuffer, -1.0); + forward_fft(mFftBuffer); std::copy_n(mFftBuffer.begin(), m, &mComplexData[curseg*m]); mFftBuffer.fill(complex_d{}); @@ -453,7 +453,7 @@ void ConvolutionState::process(const size_t samplesToDo, * second-half samples (and this output's second half is * subsequently saved for next time). */ - complex_fft(mFftBuffer, 1.0); + inverse_fft(mFftBuffer); /* The iFFT'd response is scaled up by the number of bins, so apply * the inverse to normalize the output. diff --git a/alc/effects/pshifter.cpp b/alc/effects/pshifter.cpp index 01d24333..d923e376 100644 --- a/alc/effects/pshifter.cpp +++ b/alc/effects/pshifter.cpp @@ -169,7 +169,7 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float */ for(size_t k{0u};k < STFT_SIZE;k++) mFftBuffer[k] = mFIFO[k] * HannWindow[k]; - complex_fft(mFftBuffer, -1.0); + forward_fft(mFftBuffer); /* Analyze the obtained data. Since the real FFT is symmetric, only * STFT_HALF_SIZE+1 samples are needed. @@ -232,7 +232,7 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float /* Apply an inverse FFT to get the time-domain siganl, and accumulate * for the output with windowing. */ - complex_fft(mFftBuffer, 1.0); + inverse_fft(mFftBuffer); for(size_t k{0u};k < STFT_SIZE;k++) mOutputAccum[k] += HannWindow[k]*mFftBuffer[k].real() * (2.0/STFT_SIZE/OVERSAMP); |