<< GWNoisy2 Tools for DeNoising Signals with White Gaussian Noise HT2 >>

Wavelab Toolbox >> Wavelab Toolbox > Tools for DeNoising Signals with White Gaussian Noise > HT

HT

Hard Threshold Applied to Wavelet Coefficients.

Calling Sequence

[out,wcoef,wcoefrest] = HT(Noisy,L,qmf,sigma,coef)

Parameters

Inputs:

Noisy:

1-d signal. length(y)= 2^J

L :

Low-Frequency cutoff for shrinkage (e.g. L=4) Should have L << J!

qmf :

Quadrature Mirror Filter for Wavelet Transform Optional, Default = Symmlet 8.

sigma:

Standard deviation of additive Gaussian White Noise.

Outputs :

out :

estimate, obtained by applying hard thresholding on wavelet coefficients

wcoef:

Wavelet Transform of input signal

wcoefrest:

Wavelet Transform of estimate

Authors

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