A Functional Link Network With Higher Order Statistics for Signal Enhancement

Author

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

Author_Institution

Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei

Volume

54

Issue

12

fYear

2006

Firstpage

4821

Lastpage

4826

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

Keywords

Gaussian distribution; Gaussian noise; adaptive signal processing; higher order statistics; mean square error methods; adaptive line enhancement; functional link network; higher order statistics; learning criterion; mean-square error; signal enhancement; symmetrically distributed nonGaussian noise; Adaptive filters; Adaptive signal processing; Adaptive systems; Additive noise; Gaussian noise; Higher order statistics; Neural networks; Noise level; Signal detection; Signal processing; Functional link network; higher order statistics; signal enhancement;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2006.882075

Filename

4014381