A functional link network with higher order statistics for signal enhancement

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

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)4821-4826
Number of pages6
JournalIEEE Transactions on Signal Processing
Volume54
Issue number12
DOIs
StatePublished - 1 Dec 2006

Keywords

  • Functional link network
  • Higher order statistics
  • Signal enhancement

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