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Threshold analysis in wavelet-based denoising

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3 Author(s)
L. Zhang ; Dept. of Comput., Hong Kong Polytech., Kowloon, China ; P. Bao ; Q. Pan

The hard threshold t = cσ is efficient in wavelet threshold-based nonlinear filtering. In general, the optimal constant c would vary with the signal and the added noise. The nearly optimal choice of c by minimising F(c), which is an equivalent function to the mean square error (MSE) of the recovered signal, is discussed. Experiment shows that F(c) is consistent with the MSE

Published in:

Electronics Letters  (Volume:37 ,  Issue: 24 )