Digital signal processing

Digital signal processing tools.

Main routines

aligntime(dct[, channels, mode, value])	Aligns the time vectors for specified channels in dct.
calcenv(x, y[, p, n, method, base, ...])	Returns a curve that envelopes the y data that is allowed to shift in the x-direction by some percentage.
despike(x, n[, sigma, maxiter, ...])	Delete outlier data points from signal
despike_diff(x, n[, sigma, maxiter, ...])	Delete outlier data points from signal based on level changes
exclusive_sgfilter(x, n[, exclude_point, axis])	1-d moving average that excludes selected point
fdscale(y, sr, scale[, axis])	Scale a time signal in the frequency domain.
fftcoef(x, sr, *[, axis, coef, window, ...])	FFT sine/cosine or magnitude/phase coefficients of a real signal
fftfilt(sig, w, *[, axis, bw, pass_zero, ...])	Filter time-domain signals using FFT with Gaussian ramps.
fftmap(timeslice, tsoverlap, sig, sr[, ...])	Make an FFT map ('waterfall') over time and frequency.
fixtime(olddata[, sr, negmethod, deldrops, ...])	Process recorded data to make an even time vector.
resample(data, p, q, *[, axis, beta, pts, ...])	Change sample rate of data by a rational factor using Lanczos resampling.
transmissibility(in_data, out_data, sr[, ...])	Compute transmissibility transfer function using the FFT
waterfall(sig, sr, timeslice, tsoverlap, ...)	Compute a 'waterfall' map over time and frequency (typically) using a user-supplied function.
windowends(sig[, portion, ends, axis])	Apply parts of a cosine window to the ends of a signal.

Utility routines

get_turning_pts(y[, x, getindex, tol, atol])	Find turning points (where slope changes) in a vector.
nextpow2(x)	Return next power of two that is >= integer x