pyFDN.SOSFilterBank#

class pyFDN.SOSFilterBank(sos, num_channels)[source]#

Apply one SOS filter cascade per channel, block by block.

Parameters:

sos (array) – Per-channel SOS bank of shape (n_sections, 6, N) where N = num_channels. Section rows are [b0, b1, b2, a0, a1, a2]. This is the canonical SOS bank layout in pyFDN: it matches the FLAMO parallelSOSFilter input and the output of pyFDN.first_order_absorption(), pyFDN.one_pole_absorption(), and pyFDN.absorption_geq().
num_channels (int) – Number of channels N.

:param Filter state persists across calls to filter(): :param so a long signal: :param can be processed in consecutive blocks.:

Methods

`__init__`(sos, num_channels)
`filter`(block)	Filter a block of shape (block_size, N) channel-wise.

filter(block)[source]#

Filter a block of shape (block_size, N) channel-wise.