2 September 2003 Adaptive wavelet domain thresholding denoising
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Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.521671
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongli Shi, Yuanli Cai, Zulian Qiu, "Adaptive wavelet domain thresholding denoising", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.521671; https://doi.org/10.1117/12.521671
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