Extracting the individual filters in a crossover filter

Question

Simon Stone 2021-5-7

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https://ww2.mathworks.cn/matlabcentral/answers/824345-extracting-the-individual-filters-in-a-crossover-filter

评论： Soli 2023-12-6

采纳的回答： jibrahim

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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?

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Answer 1

jibrahim 2021-5-7

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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)

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jibrahim 2023-12-4

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This method is not documented as of yet.

[b1,a1,b2,a2,b3,a3] = getFilterCoefficients(cof,numCrossovers);

b1 represents the numerator coefficients of the filter filter. a1 represents the denominator of the first filter. Each filter is a SOS filter, so b1 is N-by-3, where N is the number of sections in the SOS filter. a1 is N-by-3.

b2 and a2 represent the numerator and denominator coefficients of the second SOS filter, and so on.

Soli 2023-12-6