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Share  Title: Adaptive Equalization Techniques using Least Mean Square (LM...

 

 
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Adaptive equalization is the technique used to reliably transmit data through a communication channel. Ideally, if the channel is ideal (without and channel distortion and additive noise), we can demodulate the signal perfectly at the output without causing any error. However, in practice, all the channels are non-ideal and noisy in nature. So, to recover the original signal after demodulation, our aim is to find an equalization filter which will minimize the error between original transmitted signal and demodulated signal passed through equalization filter. Several algorithms like Least Mean Square (LMS), Recursive Least Mean Square (RLMS), Normalized Least Mean Square (NLMS) etc., has been proposed to perform this operation of equalization. In this project, we study the adaptive equalization technique with the use of least mean Square algorithm.

 
 
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Keywords

LMS  RLMS  NLMS  Adaptive  equalization  
 
 
 About This Document
 
 Subject Electrical Engineering
 Category Term Paper
 Views 5669
 Downloads 673
 Added 12-09-09
 Contributor   ravigarg
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