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function wcoef = FWT_SBS(x,L,qmf,dqmf)
// FWT_SBS -- Forward Wavelet Transform (symmetric extension, biorthogonal, symmetric)
// Usage
// wc = FWT_SBS(x,L,qmf,dqmf)
// Inputs
// x 1-d signal; arbitrary length
// L Coarsest Level of V_0; L << J
// qmf quadrature mirror filter (symmetric)
// dqmf quadrature mirror filter (symmetric, dual of qmf)
// Outputs
// wc 1-d wavelet transform of x.
//
// Description
// 1. qmf filter may be obtained from MakePBSFilter
// 2. usually, length(qmf) < 2^(L+1)
// 3. To reconstruct use IWT_SBS
//
// See Also
// IWT_SBS, MakePBSFilter
//
// References
// Based on the algorithm developed by Christopher Brislawn.
// See "Classification of Symmetric Wavelet Transforms"
//
// Copyright Aldo I Maalouf
[n,J] = dyadlength(x);
wcoef = zeros(1,n);
beta = ShapeAsRow(x); // take samples at finest scale as beta-coeffts
dp = dyadpartition(n);
for j=J-1:-1:L
[beta, alfa] = DownDyad_SBS(beta,qmf,dqmf);
//dyadj = (dp(j+1)+1):dp(j+2);
dyadj = (dp(j+1)):dp(j+2);
wcoef(dyadj) = alfa;
end
wcoef(1:length(beta)) = beta;
wcoef = ShapeLike(wcoef,x);
endfunction
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