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    Discrete-time variance tracking with application to speech processing

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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.
    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
    Date
    2001
    Author
    Moir, T.J.
    Publisher
    Massey University
    URI
    http://hdl.handle.net/10179/4343
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    • Research Letters in the Information and Mathematical Sciences
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