2005IEEE Transactions on Signal ProcessingRequires access

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

Er‐Wei Bai, Qingyu Li, Zhiyong Zhang

Open publisher page 13 citations

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Blind equalization, Channel (broadcasting), Blind signal separation, Nonlinear system, Binary number, Equalization (audio), Computer science, Source separation

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