Detection of binary signals using linear classifiers

Chulhee Lee, Heeyoung Kim, Byungjoon Baek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we treat detection of binary signals in the presence of noise, delay and interference as a pattern classification problem which is solved by utilizing second order statistics. The proposed method can be used for a linear dispersive channel with known channel characteristics. The method can be also used for unknown channel characteristics when training sequences are provided. Then, the proposed equalization is extended as multiclass problem in order to obtain higher accuracy. Experiments show that the proposed algorithm significantly outperforms the conventional LMS algorithm.

Original languageEnglish
Title of host publicationSixth IASTED International Conference on Signal and Image Processing
EditorsM.H. Hamza
Pages488-492
Number of pages5
Publication statusPublished - 2004
EventSixth IASTED International Conference on Signal and Image Processing - Honolulu, HI, United States
Duration: 2004 Aug 232004 Aug 25

Publication series

NameSixth IASTED International Conference on Signal and Image Processing

Other

OtherSixth IASTED International Conference on Signal and Image Processing
CountryUnited States
CityHonolulu, HI
Period04/8/2304/8/25

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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