Cepstral coefficients, covariance lags, and pole-zero models for finite data strings

One of the most widely used methods of spectral estimation in signal and speech processing is linear predictive coding (LPC), LPC has some attractive features, which account for its popularity, including the properties that the resulting modeling filter (i) matches a finite window of n+1 covariance...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 49; no. 4; pp. 677 - 693
Main Authors:	Ryrnes, C.I., Enqvist, P., Lindquist, A.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.04.2001 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	ALGORITHMS Applied sciences autoregressive moving average processes Cepstral analysis Covariance covariance analysis Design engineering Detection, estimation, filtering, equalization, prediction Entropy Exact sciences and technology HOMOMORPHIC PREDICTION identification Information, signal and communications theory Limiting Linear predictive coding Matched filters MATEMATIK Mathematical analysis Mathematical models MATHEMATICS Maximum entropy method maximum entropy methods Nonlinear filters Optimization optimization methods Poles and zeros Predictive models REALIZATION Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise SPECTRA spectral analysis speech analysis Speech processing Studies Telecommunications and information theory Speech analysis Cepstral analysis Covariance analysis Optimization method Theoretical study Autoregressive moving average Entropy Identification Spectral analysis
ISSN:	1053-587X, 1941-0476, 1941-0476
Online Access:	Get full text
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