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In this project, we extend the use of methods of least squares to find a recursive algorithm solution of adaptive transversal filter. Given the LS solution at any time instant n-1, we find the solution at time n recursively using past solution and newly arrived data. This algorithm is known as Recursive Least Squares (RLS) algorithm. We show the convergence rate of RLS algorithm is faster than LMS algorithm by comparing the learning curves of two algorithms for specified channel response.

 
 
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Keywords

RLS  LMS  Adaptive  equalization  gradient  descent  
 
 
 About This Document
 
 Subject Electrical Engineering
 Category White Paper
 Views 548
 Downloads 28
 Added 12-09-09
 Contributor   ravigarg
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