Paper Title:
An Improved Noise Reduction Based on Wavelet Threshold
  Abstract

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, 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
$32.00
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