Title :
Audio signal enhancement performance of an RLS algorithm over long time intervals
Author :
Scanlan, Joseph M.
Author_Institution :
Anal. Sci. Corp., Reston, VA, USA
Abstract :
In government communities recursive least squares (RLS) algorithms are not used because of the belief that they are unstable and thus cannot be incorporated as a problem solving tool. As a result the least mean squares (LMS) algorithms, time domain being most popular because of their ease of implementation, are used to suppress audio interference. The intent of this paper is to illustrate that the RLS can be used for interference suppression over long periods of time and has superior performance over the LMS algorithms
Keywords :
audio signals; interference suppression; least squares approximations; RLS algorithm; audio interference; audio signal enhancement performance; interference suppression; problem solving tool; recursive least squares; Adaptive filters; Convergence; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Frequency; Interference suppression; Least squares approximation; Least squares methods; Resonance light scattering; Signal processing algorithms;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.662209
