`pywddff.filters`

Module Contents

`scaling_filter`(filter[, modwt])	Level 1 scaling filter.
`wavelet_filter`(filter[, modwt])	Level 1 wavelet filter.
`equiv_scaling_filter`(filter, j)	Level j equivalent scaling filter.
`equiv_wavelet_filter`(filter, j)	Level j equivalent wavelet filter.

pywddff.filters.scaling_filter(filter, modwt=False)[source]

Level 1 scaling filter.

Parameters:

filter (str) – A string indicating the desired filter. There are 128 options, see the README on this package’s github page to see the list of filters available.
modwt (bool) – If True, the level 1 scaling filter is divided by 2^(1/2).

Returns:

A 1D numpy array.

Return type:

np.ndarray

pywddff.filters.wavelet_filter(filter, modwt=False)[source]

Level 1 wavelet filter.

Parameters:

filter (str) – A string indicating the desired filter. There are 128 options, see the README on this package’s github page to see the list of filters available.
modwt (bool) – If True, the level 1 wavelet filter is divided by 2^(1/2).

Returns:

A 1D numpy array.

Return type:

np.ndarray

pywddff.filters.equiv_scaling_filter(filter, j)[source]

Level j equivalent scaling filter.

Parameters:

filter (str) – A string indicating the desired filter. There are 128 options, see the README on this package’s github page to see the list of filters available.
j (int) – Decomposition level.

Returns:

A 1D numpy array of length (2^j -1)*(L-1)+1, where L is the length of the level 1 scaling/wavelet filter.

Return type:

np.ndarray

pywddff.filters.equiv_wavelet_filter(filter, j)[source]

Level j equivalent wavelet filter.

Parameters:

filter (str) – A string indicating the desired filter. There are 128 options, see the README on this package’s github page to see the list of filters available.
j (int) – Decomposition level.

Returns:

A 1D numpy array of length (2^j -1)*(L-1)+1, where L is the length of the level 1 scaling/wavelet filter.

Return type:

np.ndarray