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Pyvorin for Signal Processing
FFT, filter banks, and modulation analysis.
Published May 30, 2026
FFT Processing
Cooley-Tukey FFT implementations compile efficiently for spectral analysis.
def dft(x):
n = len(x)
result = []
for k in range(n):
s = 0.0j
for t in range(n):
angle = -2j * 3.14159265359 * t * k / n
s += x[t] * (2.71828182846 ** angle)
result.append(s)
return result
Filter Banks
Band-pass and low-pass filter applications on sampled signals.
Modulation Analysis
Constellation mapping and demodulation for QAM and PSK.