Combined Adaptive Filter with LMS-Based Algorithms

Authors: Krstajic´ B.¹; Stankovic´ L.¹; Uskokovic´ Z.¹

Source: AEÜ – International Journal of Electronics and Communications, Volume 57, Number 4, January 2003 , pp. 295-299(5)

Publisher: Urban & Fischer

Abstract:

A combined adaptive filter is proposed. It consists of parallel LMS-based adaptive FIR filters and an algorithm for choosing the better among them. As a criterion for comparison of the considered algorithms in the proposed filter, we take the ratio between bias and variance of the weighting coefficients. Simulations results confirm the advantages of the proposed adaptive filter.

Document Type: Research article

DOI: 10.1078/1434-8411-54100175

Affiliations: 1: Electrical Engineering Department, University of Montenegro, Cetinjski put bb, 81000 Podgorica, Montenegro, Yugoslavia. bozok@cg.ac.yu

Links for this article

http://www.ingentaconnect.com/urban/541/2003/00000057/00000004/art00010
http://openurl.ingenta.com/content?genre=article&issn=1434-8411&volume=57&issue=4&spage=295&epage=299
http://dx.doi.org/10.1078/1434-8411-54100175