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http://hdl.handle.net/2080/661
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| Title: | Channel Equalization using GA Family |
| Authors: | Mohanty, Debiddutta
Panda, G (Guide) |
| Issue Date: | 2008 |
| Publisher: | NIT Rourkela |
| Citation: | Channel Equalization using GA Family, Doctoral Thesis submitted to National Institute of Technolgy Rourkela |
| Abstract: | High speed data transmissions over communication channels distort the trans-
mitted signals in both amplitude and phase due to presence of Inter Symbol Inter-
ference (ISI). Other impairments like thermal noise, impulse noise and cross talk
also cause further distortions to the received symbols. Adaptive equalization of
the digital channels at the receiver removes/reduces the e®ects of such ISIs and
attempts to recover the transmitted symbols. Basically an equalizer is an inverse
¯lter which is placed at the front end of the receiver. Its transfer function is inverse
to the transfer function of the associated channel.
The Least-Mean-Square (LMS), Recursive-Least-Square (RLS) and Multilayer
perceptron (MLP) based adaptive equalizers aim to minimize the ISI present in
the digital communication channel. These are gradient based learning algorithms
and therefore there is possibility that during training of the equalizers, its weights
do not reach to their optimum values due to ... |
| Description: | Copyright for the thesis belongs to National Institute of Technology, Rourkela |
| URI: | http://hdl.handle.net/2080/661 |
| Appears in Collections: | Thesis (Doctor of Philosophy)
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Files in This Item:
| File |
Description |
Size | Format |
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| thesis-final-dmohanty.pdf | | 5048Kb | Adobe PDF | View/Open |
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