An ICA and EC based approach for blind equalization and channel parameter estimation
type: Item
instance of: scholarly article
title: An ICA and EC based approach for blind equalization and channel parameter estimation
zbMATH Open document ID: 0988.93085
DOI: 10.1007/BF02917131
author: Zhenya He
author: Lu Liu
author: Cheng-jian Wei
author: LuXi Yang
published in: Science in China. Series E
publication date: 2002-07-14T00:00:00Z
review text: This paper proposes a new on-line blind equalization scheme that combines an over-sampling technique with a linear independent component analysis neural network. The channel coefficients are estimated by using a genetic algorithm and equalized outputs. This algorithm does not require a learning sequence.
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 94A40
zbMATH DE Number: 1570535
zbMATH Keywords: on-line blind equalization
zbMATH Keywords: independent component analysis
zbMATH Keywords: neural network
zbMATH Keywords: genetic algorithm
reviewed by: Pedro A. Morettin
MaRDI profile type: Publication
cites work: Identification of nonminimum phase FIR systems via fourth-order cumulants and genetic algorithm
cites work: Singular value decomposition-based MA order determination of non-Gaussian ARMA models
cites work: Independent component analysis, a new concept?
cites work: Adaptive estimation of the fourth-order cumulant of a white stochastic process
description: scientific article; zbMATH DE number 1570535