Title :
Practical comparison of adaptive filter algorithms
Author :
Johnson, Glenn E. ; Muir, Robert A. ; Scanlan, Joseph M. ; Steedly, William M.
Author_Institution :
Anal. Sci. Corp., Reston, VA, USA
fDate :
31 Oct-2 Nov 1994
Abstract :
Linear filters can be designed to pass signals of interest and suppress undesired signal components. Wiener [1942] originated work to determine conditions for an optimal linear filter. The present paper reviews the problem of optimally reconstructing one signal as a filtered version of a second signal. This problem has applications in noise reduction, echo or interference cancellation from a signal of interest, system modeling, and equalization. Also included is an overview of methods to implement optimal, adaptive linear filters. The focus of the paper is on contrasting two methods for the particular problem of restoring speech signals in loud audio backgrounds. The discussion includes consideration of the many problems encountered in applications of adaptive processing. Trade-offs include sacrificing steady-state MSE for adaptation rate, controlling errors introduced by round-off selecting filter order, and operation count (complexity)
Keywords :
acoustic noise; adaptive filters; interference suppression; least mean squares methods; matrix inversion; optimisation; speech enhancement; adaptive filter algorithms; adaptive processing; control; echo cancellation; equalization; interference cancellation; loud audio backgrounds; noise reduction; operation count; optimal linear filter; reconstruction; restoration; round-off selecting filter order; speech signal; steady-state MSE; system modeling; Adaptive filters; Error correction; Interference cancellation; Modeling; Noise reduction; Nonlinear filters; Signal design; Signal restoration; Speech; Steady-state;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471456
