@inproceedings{6b7f0be9e6354782b1ea93b1a5e69975,
title = "Optimal threshold determination for multiscale product in wavelet denoising",
abstract = "The main difficulty in multiscale product thresholding is to determine a proper threshold. In this paper, a hard thresholding function applied to multiscale product is contructed in the product form of shrinkage coefficient function and wavelet coefficients. This function is infinite-order differentiate with respect to wavelet coefficient, and can adaptively shrink wavelet coefficient in the neighborhood of the threshold. Furthermore, minimizing the Stein unbiased risk estimate (SURE) based on the thresholding function, the optimal threshold value is obtained in the mean square error (MSE) sense. In simulations to denoise multiple classic noisy signals, the traditional multiscale product coefficient thresholding is improved through using our optimal threshold.",
keywords = "Denoising, Mutiscale Product Coefficient, Optimal Threshold, Wavelet Transform",
author = "Jinli Meng and Quan Pan and Hongcai Zhang",
year = "2005",
doi = "10.1109/ISCIT.2005.1566924",
language = "英语",
isbn = "0780395387",
series = "ISCIT 2005 - International Symposium on Communications and Information Technologies 2005, Proceedings",
pages = "570--573",
booktitle = "ISCIT 2005 - International Symposium on Communications and Information Technologies 2005, Proceedings",
note = "ISCIT 2005 - International Symposium on Communications and Information Technologies 2005 ; Conference date: 12-10-2005 Through 14-10-2005",
}