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Proceedings Paper

Research of signal denoising method on an improved wavelet threshold
Author(s): Chengbo Yu; Huafeng Qin; Lian Zhang
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Paper Abstract

Based on the Multi-analysis wavelet threshold denosing method which is put forward by D. L. Dohono and I. M. Johnstone, a new threshold function is posed. This new threshold function has many advantages over the classical soft and hard threshold function. It is clear in physics meaning and simple in expression. The experimental results show that this improved method is effective in removing white noise, and gives better RMSE performance and SNR gains than soft and hard threshold methods, and makes it possible to embody the advantages of the wavelet threshold denoising method more fully.

Paper Details

Date Published: 9 January 2008
PDF: 5 pages
Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67941E (9 January 2008); doi: 10.1117/12.784390
Show Author Affiliations
Chengbo Yu, Chongqing Institute of Technology (China)
Huafeng Qin, Chongqing Institute of Technology (China)
Lian Zhang, Chongqing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6794:
ICMIT 2007: Mechatronics, MEMS, and Smart Materials
Minoru Sasaki; Gisang Choi Sang; Zushu Li; Ryojun Ikeura; Hyungki Kim; Fangzheng Xue, Editor(s)

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