vtools.functions.filter

Module contains filter used in tidal time series analysis.

Functions

_gf1d(ts, sigma, order, mode, cval, truncate)
butterworth(ts[, cutoff_period, ...])	low-pass butterworth-squared filter on a regular time series.
convert_span_to_nstep(freq, span)
cosine_lanczos(ts[, cutoff_period, ...])	squared low-pass cosine lanczos filter on a regular time series.
generate_godin_fir(freq)	generate godin filter impulse response for given freq freq is a pandas freq
godin(ts)	Low-pass Godin filter a regular time series.
lowpass_cosine_lanczos_filter_coef(cf, m[, ...])	return the convolution coefficients for low pass lanczos filter.
process_cutoff(cutoff_frequency, ...)
ts_gaussian_filter(ts, sigma[, order, mode, ...])	Column-wise Gaussian smoothing of regular time series.