Application of evolution programming for blind equalization

S. R. Nelatury, S. S. Rao

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


This paper presents an application of evolution programming (EP) for blind equalization (BE). A signal transmitted over a distorting channel needs equalization to be reproduced. BE is a good option when no training signal is available. The finite size of the source alphabet is exploited to implement a block-processing scheme based on EP for designing blind equalizers. The problem reduces to optimizing a multi modal multivariable cost function. Search is made more effective by varying a radix used to represent the species. To ensure a unique solution some constraints are used in the generation process of the offspring.

Original languageEnglish (US)
Pages (from-to)1014-1018
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
StatePublished - 2000
Event34th Asilomar Conference - Pacific Grove, CA, United States
Duration: Oct 29 2000Nov 1 2000

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications


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