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ThreshWP

Wavepacket decomposition of a noisy signal, Best Basis analysis, Thresholding in Best Basis

Calling Sequence

out=ThreshWP(Noisy,sigma,Type,mult,D,qmf)

Parameters

Inputs:

Noisy:

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

sigma :

Standard deviation of additive Gaussian White Noise.

Type :

'S' for soft thresholding, 'H' for hard thresholding. Optional, Default=hard thresholding.

mult :

Multiplier of sigma to obtain the value of the threshold. Optional, Default = sqrt(2*log(n)), where n is the length of datas.

D :

degree of finest frequency partition. Optional, D=J-3.

qmf :

orthonormal quadrature mirror filter Optional, Default = Symmlet 4.

Outputs :

out :

Estimate, obtained by applying thresholding on wavepackets coefficients.

Authors

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