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.
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Hongli Shi, Hongli Shi, Yuanli Cai, Yuanli Cai, Zulian Qiu, 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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