Systems
vsignal
Signal processing basics, including a plain discrete Fourier transform.
Released v1.0.0 · 2026-09-28use "stdlib/signal.ven"print discrete_fourier_transform([1.0, 1.0, 1.0, 1.0])Reference (8 functions)
API reference
discrete_fourier_transform(samples)
Computes the Discrete Fourier Transform of samples by direct summation.
discrete_fourier_transform([1.0, 1.0, 1.0, 1.0])inverse_discrete_fourier_transform(spectrum)
Reconstructs a real-valued signal from spectrum via the inverse DFT sum.
inverse_discrete_fourier_transform([(4.0, 0.0), (0.0, 0.0), (0.0, 0.0), (0.0, 0.0)])convolve(signal, kernel)
Computes the full linear convolution of signal with kernel.
convolve([1.0, 2.0, 3.0], [0.0, 1.0])cross_correlate(a, b)
Computes the full cross-correlation of a against b.
cross_correlate([1.0, 2.0, 3.0], [1.0, 0.0])moving_average_filter(signal, window)
Smooths signal with a simple sliding-window average.
moving_average_filter([1.0, 2.0, 3.0, 4.0], 2)low_pass_filter(signal, window)
Approximates a low-pass filter with a moving-average box filter.
low_pass_filter([1.0, 2.0, 3.0, 4.0], 2)power_spectrum(signal, sample_rate)
Computes the one-sided power spectrum of signal at sample_rate.
power_spectrum([1.0, 1.0, 1.0, 1.0], 4.0)find_peaks(signal, min_height)
Finds the indices of local maxima in signal above min_height.
find_peaks([1.0, 5.0, 2.0, 8.0, 3.0], 3.0)