📄 qmf.m
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function y=qmf(x,N,window)
% y=qmf(x,N,window)
%
% Single-stage transform using two QMF (Quadrature Mirror
% Filter) channels with cutoff at 0.25 Hz-s.
% Inputs:
% x =input signal vector (an array is converted to a vector).
% N =number of weights in FIR filters. Must be odd.
% window =1 (boxcar), 2 (tapered), 3(tent) 4 (hanning),
% 5 (hamming), 6(blackman), or 7(kaiser)
% (In the last case windo is a vector=[7,beta],
% with beta in range [4,9].)
% Output:
% y(:,1) =low-freq. down-sampled vector.
% y(:,2) =high-freq. down-sampled vector.
% See also: iqmf, wt_equal
x=col_vec(x); % x must be a vector
N=2*floor(N/2)+1; % N must be odd
K=fix(length(x)/2); % K =half-length of x
y=zeros(K,2);
b=[1 1]'*fir_weights(N,1,window,.25); % lowpass weights
b(2,:)=b(1,:).*(-1).^[0:N-1]; % hipass weights in b(2,:)
for i=1:2,
u=filter(b(i,:),1,x);
y(:,i)=col_vec(u(1:2:2*K));
end
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