Extracting the individual filters in a crossover filter

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Simon Stone
Simon Stone on 7 May 2021
Commented: Simon Stone on 10 May 2021
I have set up a crossover filter like so:
cof = crossoverFilter(1, 5000, 48, 44100);
I know I can visualize the two constituent filters like so:
visualize(cof);
But for publication purposes, I would like to change the visualization quite a bit. That's why I'm looking for a way to extract the individual filters from the crossover filter in some way, but I cannot seem to figure it out. I even tried going through the code of the visualize function, but I am having a hard time making sense of it.
Am I missing something? Or is there really no easy way to get to the filter coefficients?

Accepted Answer

jibrahim
jibrahim on 7 May 2021
Hi Simon,
There is no documented way to get the individual filters. However, there is a hidden function that should help you:
numCrossovers = 2;
cof = crossoverFilter(numCrossovers, [300 5000], 48, 44100);
% Get the SOS filter coefficients for the 3 filters
[b1,a1,b2,a2,b3,a3] = getFilterCoefficients(cof,numCrossovers);
% Use fvtool to visualize
fvtool([b1,a1],[b2,a2],[b3,a3])
% Visualize using dynamic filter visualizer
fv = dsp.DynamicFilterVisualizer('SampleRate',cof.SampleRate);
fv(b1,a1,b2,a2,b3,a3)
  1 Comment
Simon Stone
Simon Stone on 10 May 2021
Brilliant, working like a charm! Exactly what I needed and a huge help. Thank you!

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