Publication: A performance-weighted mixture of LMS filters
Program
KU-Authors
KU Authors
Co-Authors
Singer, Andrew C.
Advisor
Publication Date
2009
Language
English
Type
Conference proceeding
Journal Title
Journal ISSN
Volume Title
Abstract
In this paper, we explore the use of a particular multistage adaptation algorithm for a variety of adaptive filtering applications where the structure of the underlying process to be estimated is unknown. The proposed algorithm uses a performance-weighted mixture of LMS filters of various orders to construct its final output. The algorithm is analyzed in a stochastic context with respect to its convergence and mean-square error (MSE) behaviors and is shown to achieve the best MSE performance of the constituent algorithms in the mixture. Through simulations, it has been observed that the mixture structure can offer considerable performance improvement for both stationary and time varying observation sequences.
Description
Source:
2009 Ieee International Conference On Acoustics, Speech, And Signal Processing, Vols 1- 8, Proceedings
Publisher:
Ieee
Keywords:
Subject
Acoustics, Engineering, Electrical and electronic engineering