Robert Poor <
rdpoor@gmail.com> wrote:
I should have mentioned: as Steve Pope points out in:
https://groups.google.com/d/msg/comp.dsp/bAUKDSnvLzw/ejI-J-aQzusJ
Lattice filters are stable if the coefficients for the recursive part
of the filter are in the range (-1,+1). One can ramp between, or
even switch between two such sets of coefficients without instabilities.
... I should probably rephrase my question to be "can anyone offer
guidance or examples of implementing lattice filters in scipy?"
I have no familiarity with scipy, unfortauntely. You may want
to ask this question on Stack Exchange.
Lattice filters are an excellent choice if you need to vary the
coefficients on a sample by sample (or otherwise rapid) basis,
but I think you said you are processing blocks of data, with
coefficients fixed between blocks, so in that case any of the
basic filter topologies will be equivalent.
One the other hand, if after filtering, you need to "stitch"
the blocks together, and want to do some sort of smothing between
blocks so that there is not a glitch, lattice topology might make
that easiter.
Steve
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