Discrete-time variance tracking with application to speech processing

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dc.contributor.authorMoir, T.J.
dc.date.accessioned2013-05-07T02:26:23Z
dc.date.available2013-05-07T02:26:23Z
dc.date.issued2001
dc.description.abstractTwo 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.en
dc.identifier.citationMoir, T.J. (2001), Discrete-time variance tracking with application to speech processing, Research Letters in the Information and Mathematical Sciences, 2, 71-80en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4343
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectSpeech processingen
dc.subjectVariance trackingen
dc.titleDiscrete-time variance tracking with application to speech processingen
dc.typeArticleen
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