pyminidsp

Python bindings to the miniDSP C library.

A comprehensive DSP toolkit providing signal generation, spectral analysis, filtering, effects, and more. All functions accept and return NumPy arrays (float64).

These are the kinds of building blocks you’d use in an audio processing pipeline — for example, estimating which direction a sound came from using a pair of microphones.

import pyminidsp as md

# Generate a 440 Hz sine wave (1 second at 44.1 kHz)
signal = md.sine_wave(44100, amplitude=1.0, freq=440.0, sample_rate=44100.0)

# Compute the magnitude spectrum
mag = md.magnitude_spectrum(signal)

# Apply a low-pass biquad filter
lpf = md.BiquadFilter(md.LPF, freq=1000.0, sample_rate=44100.0)
filtered = lpf.process_array(signal)

# Clean up FFT caches when done
md.shutdown()

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