wavelet-based filter

I want to create a wavelet-based filter for PQ _APF theory, but each time I increase the level of the decomposition there is this message that appears

"Dimensions of matrices being concatenated are not consistent."

function CA1 = DWT_PQTheo(P)

C = 0;

L = 0;

cA = 0;

cD = 0;

m = 0;

% P1=P(2400:10000-1);

[C, L] = wavedec(P, 12, 'db8');

cA = appcoef(C, L, 'db8', 12);

CA1=zeros(length(P),1);

m=0;

for k=1:length(CA1)

m=m+1;

CA1(k)=cA(m);

end

end

Answer 1

[Vinay]

Hi @Faraxen,

The issue arises because the 'cA' matrix, which contains the approximate coefficients, has incorrect dimensions compared to the 'CA1' matrix, which matches the length of the original signal. To fix this issue, adjust the size of 'CA1' to match that of 'cA'.

Kindly refer to the below documentation of “wavedec” for more details:

https://www.mathworks.com/help/wavelet/ref/wavedec.html

I hope this helps!