Abstract
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 language | English (US) |
|---|---|
| Pages (from-to) | 1014-1018 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 2 |
| State | Published - 2000 |
| Event | 34th Asilomar Conference - Pacific Grove, CA, United States Duration: Oct 29 2000 → Nov 1 2000 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Networks and Communications