Gurkengewuerz
/
audio-reactive-led-strip
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Removed two DSP functions that are no longer needed

This commit is contained in:
Scott Lawson 2016-11-21 20:11:16 -08:00
parent e3a810db09
commit 1e630f2151
1 changed files with 5 additions and 25 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

30
python/dsp.py
View File

@ -26,11 +26,6 @@ class ExpFilter:
return self.value
def wrap_phase(phase):
"""Converts phases in the range [0, 2 pi] to [-pi, pi]"""
return (phase + np.pi) % (2 * np.pi) - np.pi
ys_prev = None
phase_prev = None
dphase_prev = None
@ -102,9 +97,9 @@ def onset(yt):
NWPD = np.nan_to_num(NWPD)
RCD = np.nan_to_num(RCD)
# Convert onset detection to logarithmically spaced bins
_, SF = log_partition(xs, SF, subbands=config.N_SUBBANDS)
_, NWPD = log_partition(xs, NWPD, subbands=config.N_SUBBANDS)
_, RCD = log_partition(xs, RCD, subbands=config.N_SUBBANDS)
_, SF = log_partition(xs, SF, subbands=config.N_FFT_BINS)
_, NWPD = log_partition(xs, NWPD, subbands=config.N_FFT_BINS)
_, RCD = log_partition(xs, RCD, subbands=config.N_FFT_BINS)
return SF, NWPD, RCD
@ -122,23 +117,8 @@ def fft(data, window=None):
return xs, ys
def log_partition(xs, ys, subbands):
f = interp1d(xs, ys)
xs_log = np.logspace(np.log10(xs[0]), np.log10(xs[-1]), num=subbands * 24)
xs_log[0] = xs[0]
xs_log[-1] = xs[-1]
ys_log = f(xs_log)
X, Y = [], []
for i in range(0, subbands * 24, 24):
X.append(np.mean(xs_log[i:i + 24]))
Y.append(np.mean(ys_log[i:i + 24]))
return np.array(X), np.array(Y)
samples = int(round(config.MIC_RATE * config.N_ROLLING_HISTORY / (2.0 * config.FPS)))
mel_y, (_, mel_x) = melbank.compute_melmat(num_mel_bands=config.N_SUBBANDS,
mel_y, (_, mel_x) = melbank.compute_melmat(num_mel_bands=config.N_FFT_BINS,
freq_min=config.MIN_FREQUENCY,
freq_max=config.MAX_FREQUENCY,
num_fft_bands=samples,
@ -148,7 +128,7 @@ def create_mel_bank(n_history):
global samples, mel_y, mel_x
config.N_ROLLING_HISTORY = n_history
samples = int(round(config.MIC_RATE * config.N_ROLLING_HISTORY / (2.0 * config.FPS)))
mel_y, (_, mel_x) = melbank.compute_melmat(num_mel_bands=config.N_SUBBANDS,
mel_y, (_, mel_x) = melbank.compute_melmat(num_mel_bands=config.N_FFT_BINS,
freq_min=config.MIN_FREQUENCY,
freq_max=config.MAX_FREQUENCY,
num_fft_bands=samples,