📄 fwt_ym.sci
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function w = FWT_YM(x,L,deg)
// FWT_YM -- Forward Wavelet Transform (periodized Meyer Wavelet)
// Usage
// w = FWT_YM(x,L,deg)
// Inputs
// x 1-d signal; length(x) = 2^J
// L Coarsest Level of V_0; L << J
// deg degree of polynomial window 2 <= deg <=4
// Outputs
// w 1-d wavelet transform of x
//
// Description
// The Meyer wavelet is defined in the frequency domain.
// The algorithm is very different from usual quadrature
// mirror filter algorithms. See the Ph. D. Thesis of
// Eric Kolaczyk. To reconstruct use IWT_YM
//
// See Also
// IWT_YM, CoarseMeyerCoeff, DetailMeyerCoeff, FineMeyerCoeff
//
// Copyright Aldo I Maalouf
y = x;
x = ShapeAsRow(x);
if L < 3,
'L must be >= 3. Enter new value of L or hit Ctrl-C to break.'
L = input("L = ?");
end
//
nn = length2(x);
J = log2(nn);
fhat = mtlb_fft(x);
//
// Compute Coefficients at Coarse Level.
//
w(1:(2^L)) = CoarseMeyerCoeff(fhat,L,nn,deg);
//
// Loop to Get Detail Coefficients for levels j=L,...,J-2.
//
for j = L:(J-2),
w((2^j+1):(2^(j+1))) = DetailMeyerCoeff(fhat,j,nn,deg);
end
//
// Calculate Fine Level Detail Coefficients (for j=J-1).
//
w((2^(J-1)+1):(2^J)) = FineMeyerCoeff(fhat,nn,deg);
w = ShapeLike(w,y);
endfunction
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