utils.condition_filter#

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Summary#

Compute support, weight, and truncate input frequency domain filter

Signature#

def condition_filter(filt, support = None, truncate = False, shorten = False, taper = False, notch_pars = None, flen = None, wfac = params.WFAC_FILT, in_domain = 'fd', out_domain = 'fd', def_fftsize = params.DEF_FFTSIZE, taper_fraction = 0.2, min_trunc_len = 2)
Input variables#

Name

Type

Default

Description

filt

If in_domain is ‘fd’: Complex array of length nrfft(len(data)) with RFFT of {whitening filter with time domain weight at the edges} else: Real array of length len(data) with whitening filter with time domain weight at the edges

support

None

Support to truncate at (in indices). If None, it is calculated from the filter itself

truncate

False

Flag whether to truncate the time-domain support of the filter

shorten

False

Flag whether to shorten the time-domain length of the filter

taper

False

Flag whether to taper the time domain response of the filter with a Tukey window. Applied after truncating if truncate==True, else on the entire length

notch_pars

None

Optional parameters of notches to apply, output of notch_filter_sos

flen

None

Total length of filter in time domain (zero-padded in frequency domain if needed)

wfac

params.WFAC_FILT

(1 - Weight of the filter to capture)/2

in_domain

‘fd’

Domain of input (‘fd’ or ‘td’)

out_domain

‘fd’

Domain of output (‘fd’ or ‘td’)

def_fftsize

params.DEF_FFTSIZE

Default fftsize, one of the limits for the time domain length of the output

taper_fraction

0.2

Fraction of response to taper with a Tukey window, if applicable (0 is boxcar, 1 is Hann)

min_trunc_len

2

minimum N_samples//2 after truncation

Output variables#

Return annotation

Docstring type

Description

None

  1. If out_domain is ‘fd’: Complex array of the same size as filt with RFFT of conditioned filter else: Real array of the same size as filt with conditioned filter 2. Support of filter (TD filter has 2 \* support - 1 nonzero coeffs) 3. Total weight of filter (sum w(t)^2)

Docstring#

Compute support, weight, and truncate input frequency domain filter
:param filt:
    If in_domain is 'fd':
        Complex array of length nrfft(len(data)) with RFFT of
        {whitening filter with time domain weight at the edges}
    else:
        Real array of length len(data) with whitening filter with time
        domain weight at the edges
:param support:
    Support to truncate at (in indices). If None, it is calculated from the
    filter itself
:param truncate:
    Flag whether to truncate the time-domain support of the filter
:param shorten:
    Flag whether to shorten the time-domain length of the filter
:param taper:
    Flag whether to taper the time domain response of the filter with a
    Tukey window. Applied after truncating if truncate==True, else on the
    entire length
:param notch_pars:
    Optional parameters of notches to apply, output of notch_filter_sos
:param flen:
    Total length of filter in time domain (zero-padded in frequency domain
    if needed)
:param wfac: (1 - Weight of the filter to capture)/2
:param in_domain: Domain of input ('fd' or 'td')
:param out_domain: Domain of output ('fd' or 'td')
:param def_fftsize:
    Default fftsize, one of the limits for the time domain length of the
    output
:param taper_fraction:
    Fraction of response to taper with a Tukey window, if applicable
    (0 is boxcar, 1 is Hann)
:param min_trunc_len: minimum N_samples//2 after truncation
:return: 1. If out_domain is 'fd':
                Complex array of the same size as filt with RFFT of
                conditioned filter
            else:
                Real array of the same size as filt with conditioned filter
         2. Support of filter (TD filter has 2 * support - 1 nonzero coeffs)
         3. Total weight of filter (sum w(t)^2)