Simulation of an Ideal Thresholding Applied to Wavelet Coefficients.
[out,wcoef,wcoefrest] = IdealWavDenoise(Orig,Noisy,L,qmf,sigma)
1-d original Signal (length= 2^J).
1-d noisy signal.
Low-Frequency cutoff for shrinkage (e.g. L=4) Should have L << J!
Quadrature Mirror Filter for Wavelet Transform Optional, Default = Symmlet 8.
Standard deviation of additive Gaussian White Noise.
estimate, obtained by applying hard thresholding on wavelet coefficients
Wavelet Transform of input signal
Wavelet Transform of estimate