A functional link network with higher order statistics for signal enhancement

Bor-Shyh Lin, Bor Shing Lin, Fok Ching Chong, Feipei Lai

研究成果: Article同行評審

12 引文 斯高帕斯(Scopus)

摘要

A functional link network with higher order statistics is introduced for signal enhancement. The proposed scheme uses the mean-square error (MSE) between higher order statistics of desired signals and filtered output as the learning criterion for training weights in the functional link network. This is motivated by the fact that higher order statistics have a natural tolerance to Gaussian and symmetrically distributed non-Gaussian noises. Results show that the performance of functional link network with higher order statistics is less sensitive to the selection of learning rates than the conventional functional link network and adaptive line enhancement. It is also demonstrated that it can enhance signal more effectively under different noise levels for stationary and nonstationary Gaussian noises.

原文English
頁(從 - 到)4821-4826
頁數6
期刊IEEE Transactions on Signal Processing
54
發行號12
DOIs
出版狀態Published - 1 12月 2006

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