A new deconvolution method based on maximum entropy and quasi-moment truncation technique

Monika Pinchas, Ben-Zion Bobrovsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we present a new blind equalization method based on the quasi-moment truncation technique and on the Maximum Entropy blind equalization method presented previously in the literature. In our new proposed method, fewer moments of the source signal are needed to be known compared with the previously presented technique. Simulation results show that our new proposed algorithm has better equalization performance compared with Godard's and Lazaro's et al. algorithm.

Original languageEnglish
Title of host publicationICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Pages210-213
Number of pages4
StatePublished - 2009
EventICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics - Milan, Italy
Duration: 2 Jul 20095 Jul 2009

Publication series

NameICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Volume3 SPSMC

Conference

ConferenceICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics
Country/TerritoryItaly
CityMilan
Period2/07/095/07/09

Keywords

  • Blind deconvolution
  • Blind equalization
  • Non-linear adaptive filtering

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