signal

Some general signal procressing tools (FFT, correlation). Mostly textbook and reference implementations plus some utilities.

FIRFilter(cutoff, nyq[, ntaps, ripple, ...])	Build and apply a digital FIR filter (low-, high-, band-pass, band-stop).
acorr(v[, method, norm])	(Normalized) autocorrelation function (ACF) for 1d arrays.
cauchy(M[, std, sym])	Lorentz window (same as Cauchy function).
dft(a[, method])	Simple straightforward complex DFT algo.
ezfft(y[, dt])	Simple FFT function for interactive use.
fft_1d_loop(arr[, axis])	Like scipy.fft.pack.fft and numpy.fft.fft, perform fft along an axis.
fftsample(a, b[, mode, mirr])	Convert size and resolution between frequency and time domain.
find_peaks(y[, x, k, spread, ymin])	Simple peak finding algorithm.
gauss(x[, std, norm])	Gaussian function.
lorentz(M[, std, sym])	Lorentz window (same as Cauchy function).
mirror(arr[, axis])	Mirror array arr at index 0 along axis.
odd(n[, add])	Return next odd integer to n.
pad_zeros(arr[, axis, where, nadd, upto, ...])	Pad an nd-array with zeros.
scale(x[, copy])	Scale x to unity.
smooth(data, kern[, axis, edge, norm])	Smooth N-dim data by convolution with a kernel kern.
welch(M[, sym])	Welch window.