xdas.signal

Signal processing

detrend(da[, type, dim, parallel])	Detrend data along given dimension.
taper(da[, window, fftbins, dim, parallel])	Apply a tapering window along the given dimension.
resample(da, num[, dim, window, domain, ...])	Resample da to num samples using Fourier method along the given dimension.
resample_poly(da, up, down[, dim, window, ...])	Resample da along the given dimension using polyphase filtering.
decimate(da, q[, n, ftype, zero_phase, dim, ...])	Downsample the signal after applying an anti-aliasing filter.
integrate(da[, midpoints, dim, parallel])	Integrate along a given dimension.
differentiate(da[, midpoints, dim, parallel])	Differentiate along a given dimension.
segment_mean_removal(da, limits[, window, dim])	Piecewise mean removal.
sliding_mean_removal(da, wlen[, window, ...])	Sliding mean removal.

Filtering

filter(da, freq, btype[, corners, ...])	SOS IIR filtering along given dimension.
hilbert(da[, N, dim, parallel])	Compute the analytic signal, using the Hilbert transform.
lfilter(b, a, da[, dim, zi, parallel])	Filter data along one-dimension with an IIR or FIR filter.
filtfilt(b, a, da[, dim, padtype, padlen, ...])	Apply a digital filter forward and backward to a signal.
sosfilt(sos, da[, dim, zi, parallel])	Filter data along one dimension using cascaded second-order sections.
sosfiltfilt(sos, da[, dim, padtype, padlen, ...])	Apply a forward-backward digital filter using cascaded second-order sections.
medfilt(da, kernel_dim)	Perform a median filter along given dimensions.

Spectral analysis

stft(da[, window, nperseg, noverlap, nfft, ...])

Compute the Short-Time Fourier Transform (STFT) of a data array.