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AUTHOR: Kopsinis Ioannis
TITLE: Design of Efficient Pattern Recognition Methods for Channel Equalization
RESEARCH AREAS:
- Telecommunications signal processing
ADVISORY COMMITTEE:
- Supervisor: Theodoridis Sergios
- Advisor: Kalouptsidis Nicholas
- Advisor: Berberidis Kostas
DATE OF COMPLETION: 15/06/2003
DESCRIPTION:
A major problem in ML channel equalizers is the estimation of the unknown channel. In this thesis, novel efficient methods are developed that bypass this step, by exploiting information residing in the clusters formed by the observations. The resulting equalizers, are LS optimal, yet with very low computational complexity, and multiplier-free operations.
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