Prediction of Bandlimited Signals from Past Samples and Applications to Speech Coding

Dale H. Mugler; Yan Wu

doi:10.1007/978-1-4615-1229-5_13

Prediction of Bandlimited Signals from Past Samples and Applications to Speech Coding

Dale H. Mugler, Yan Wu

Mathematical Sciences

The University of Akron

Research output: Contribution to book or proceeding › Chapter

Abstract

This chapter is concerned with the prediction of the next value of a bandlimited signal from its past, uniformly-sampled or periodic nonuniformlysampled discrete values. The idea of a next value assumes a pattern of sampling that is not completely arbitrary, but has a periodic pattern. In addition to past samples that are uniformly-spaced, nonuniform but periodic sampling will be considered here, and each of these patterns will be related to the Nyquist criterion.

Original language	American English
Title of host publication	Nonuniform Sampling: Theory and Practice
DOIs	https://doi.org/10.1007/978-1-4615-1229-5_13
State	Published - Jan 1 2001

Disciplines

Education
Mathematics

Keywords

Band-Limited Signals
Lost
Prolate
Speech Coding
Sten

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https://doi.org/10.1007/978-1-4615-1229-5_13

Cite this

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AB - This chapter is concerned with the prediction of the next value of a bandlimited signal from its past, uniformly-sampled or periodic nonuniformlysampled discrete values. The idea of a next value assumes a pattern of sampling that is not completely arbitrary, but has a periodic pattern. In addition to past samples that are uniformly-spaced, nonuniform but periodic sampling will be considered here, and each of these patterns will be related to the Nyquist criterion.

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KW - Prolate

KW - Speech Coding

KW - Sten

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M3 - Chapter

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Prediction of Bandlimited Signals from Past Samples and Applications to Speech Coding

Abstract

Disciplines

Keywords

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