Blind source separation/channel equalization of nonlinear channels with binary inputs

Er-Wei BAI; QINGYU LI; ZHIYONG ZHANG

doi:10.1109/TSP.2005.849158

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Blind source separation/channel equalization of nonlinear channels with binary inputs

Journal article

Peer reviewed

Blind source separation/channel equalization of nonlinear channels with binary inputs

Er-Wei BAI, QINGYU LI and ZHIYONG ZHANG

IEEE transactions on signal processing, Vol.53(7), pp.2315-2323

2005

DOI: 10.1109/TSP.2005.849158

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Abstract

In this paper, we consider blind source separation/channel equalization problems for an unknown nonlinear channel. By using the property of the binary alphabets, we show that blind nonlinear source separation/channel equalization problems can be easily solved by existing linear methods.

Applied Sciences

Signal and communications theory

Telecommunications and information theory

Exact sciences and technology

Signal, noise

Information, signal and communications theory

Detection, estimation, filtering, equalization, prediction

Details

Title: Subtitle: Blind source separation/channel equalization of nonlinear channels with binary inputs
Creators: Er-Wei BAI - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
QINGYU LI - Department of Neurosurgery, University of Iowa, Iowa City, IA 52242, United States
ZHIYONG ZHANG - Nanjing University of Posts and Telecommunications, Nanjing, 210003, China
Resource Type: Journal article
Publication Details: IEEE transactions on signal processing, Vol.53(7), pp.2315-2323
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2005.849158
ISSN: 1053-587X
eISSN: 1941-0476
Language: English
Date published: 2005
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083807102771

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