An Improved Noise Reduction Based on Wavelet Threshold

Abstract:

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Based on multi-resolution analysis of wavelet, this article is aimed at building a new soft threshold function for wavelet de-noising, to overcome the discontinuous disadvantage of the hard threshold function. In the area adjacent to the threshold, continuously adjustable nonlinear functions are introduced in piecewise to process the wavelet coefficients more carefully in this area. Consequently, large deviation caused by super-compression of wavelet coefficients when using traditional soft threshold could be avoided, and the nonlinearity of the system is able to be effectively kept. Using both signal to noise ratio (SNR) and mean square error (MSE) as the evaluation indicators, simulation results show that the improved method is more effective than the method based on traditional hard and soft threshold.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

1701-1705

DOI:

10.4028/www.scientific.net/KEM.474-476.1701

Citation:

J. H. Xi and J. Chen, "An Improved Noise Reduction Based on Wavelet Threshold", Key Engineering Materials, Vols. 474-476, pp. 1701-1705, 2011

Online since:

April 2011

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Price:

$35.00

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