Share Email Print

Proceedings Paper

Adaptive wavelet domain thresholding denoising
Author(s): Hongli Shi; Yuanli Cai; Zulian Qiu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, a new differentiable hard-thresholding function is presented that could replace the hard-thresholding function proposed by Xiao-Ping Zhang as the activation function of wavelet Thresholding Neural Network (TNN). Some numerical experiments show that this hard-thresholding function is more effective in the determination of global optimal solution in signal denoising.

Paper Details

Date Published: 2 September 2003
PDF: 6 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.521671
Show Author Affiliations
Hongli Shi, Xi'an Jiaotong Univ. (China)
Yuanli Cai, Xi'an Jiaotong Univ. (China)
Zulian Qiu, Xi'an Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

© SPIE. Terms of Use
Back to Top