Title :
Hierarchical RLS algorithm for adaptive transversal FIR filters
Author_Institution :
Dept. of Inf. Manage., Nat. Defense Manage. Coll., Taipei, Taiwan
fDate :
11/23/2000 12:00:00 AM
Abstract :
It is known that the convergence rate of the LMS algorithm is slow, especially when the channel has severe spectral nulls. The convergence rate of RLS is fast, but the computational complexity is high. A hierarchical RLS algorithm is proposed to reduce the computational complexity and increase the convergence rate of the RLS
Keywords :
FIR filters; adaptive filters; computational complexity; convergence of numerical methods; filtering theory; least squares approximations; adaptive transversal FIR filters; computational complexity reduction; convergence rate improvement; hierarchical RLS algorithm;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20001420
