Discrete-time variance tracking with application to speech processing
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Date
2001
DOI
Open Access Location
Authors
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Journal ISSN
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Publisher
Massey University
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Abstract
Two new discrete-time algorithms are presented for tracking variance and reciprocal variance. The closed
loop nature of the solutions to these problems makes this approach highly accurate and can be used
recursively in real time. Since the Least-Mean Squares (LMS) method of parameter estimation requires an
estimate of variance to compute the step size, this technique is well suited to applications such as speech
processing and adaptive filtering.
Description
Keywords
Speech processing, Variance tracking
Citation
Moir, T.J. (2001), Discrete-time variance tracking with application to speech processing, Research Letters in the Information and Mathematical Sciences, 2, 71-80