move fft calculations into fft chain

This commit is contained in:
Jakob Ketterl
2020-12-20 22:55:10 +01:00
parent 1083d51e18
commit 2c7c41cded
2 changed files with 69 additions and 54 deletions

View File

@ -7,11 +7,18 @@ logger.setLevel(logging.INFO)
class FftChain(Chain):
def __init__(self, fft_size, fft_block_size, fft_averages, fft_compression):
logger.debug("new fft: fft_size={0}, fft_block_size={1}, fft_averages={2}, fft_compression={3}".format(fft_size, fft_block_size, fft_averages, fft_compression))
self.fft = Fft(size=fft_size, every_n_samples=int(fft_block_size))
self.logAveragePower = LogAveragePower(add_db=-70, fft_size=fft_size, avg_number=fft_averages)
self.fftExchangeSides = FftExchangeSides(fft_size=fft_size)
def __init__(self, samp_rate, fft_size, fft_v_overlap_factor, fft_fps, fft_compression):
self.sampleRate = samp_rate
self.vOverlapFactor = fft_v_overlap_factor
self.fps = fft_fps
self.size = fft_size
self.blockSize = 0
self.fftAverages = 0
self.fft = Fft(size=self.size, every_n_samples=self.blockSize)
self.logAveragePower = LogAveragePower(add_db=-70, fft_size=self.size, avg_number=self.fftAverages)
self.fftExchangeSides = FftExchangeSides(fft_size=self.size)
workers = [
self.fft,
self.logAveragePower,
@ -19,14 +26,52 @@ class FftChain(Chain):
]
self.compressFftAdpcm = None
if fft_compression == "adpcm":
self.compressFftAdpcm = CompressFftAdpcm(fft_size=fft_size)
self.compressFftAdpcm = CompressFftAdpcm(fft_size=self.size)
workers += [self.compressFftAdpcm]
self._updateParameters()
super().__init__(*workers)
def setFftAverages(self, fft_averages):
logger.debug("setting fft_averages={0}".format(fft_averages))
self.logAveragePower.setFftAverages(avg_number=fft_averages)
def _setFftAverages(self, fft_averages):
if self.fftAverages == fft_averages:
return
self.fftAverages = fft_averages
self.logAveragePower.setFftAverages(avg_number=self.fftAverages)
def setFftBlockSize(self, fft_block_size):
logger.debug("setting fft_block_size={0}".format(fft_block_size))
self.fft.setEveryNSamples(int(fft_block_size))
def _setBlockSize(self, fft_block_size):
if self.blockSize == int(fft_block_size):
return
self.blockSize = int(fft_block_size)
self.fft.setEveryNSamples(self.blockSize)
def setVOverlapFactor(self, fft_v_overlap_factor):
if self.vOverlapFactor == fft_v_overlap_factor:
return
self.vOverlapFactor = fft_v_overlap_factor
self._updateParameters()
def setFps(self, fft_fps):
if self.fps == fft_fps:
return
self.fps = fft_fps
self._updateParameters()
def setSampleRate(self, samp_rate):
if self.sampleRate == samp_rate:
return
self.sampleRate = samp_rate
self._updateParameters()
def _updateParameters(self):
if self.vOverlapFactor > 0:
self._setFftAverages(
int(round(1.0 * self.sampleRate / self.size / self.fps / (1.0 - self.vOverlapFactor)))
)
else:
self._setFftAverages(0)
if self.fftAverages == 0:
self._setBlockSize(self.sampleRate / self.fps)
else:
self._setBlockSize(self.sampleRate / self.fps / self.fftAverages)