NDLI: Similarities and differences between one-sided and two-sided linear prediction

Content Provider	IEEE Xplore Digital Library
Author	Jin-Jen Hsue Yagle, A.E.
Copyright Year	1995
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA (Jin-Jen Hsue; Yagle, A.E.)
Abstract	Provides a comparison between one-sided linear prediction (OSP) and two-sided linear prediction (TSP) with respect to prediction error, relationships to AR modeling and to two-sided AR modeling, and the application to time series interpolation, linear-phase filter design, and spectral estimation. New contributions of the paper include: (1) proof that TSP produces smaller, non-white residuals than OSP, extending previous results; (2) specification of the frequency-domain error criterion minimized by TSP, and comparison with the analogous OSP criterion; (3) demonstration that TSP and two-sided AR modeling are different problems, unlike OSP; (4) interpretation of performance of TSP interference-rejection filters.
Starting Page	1717
Ending Page	1720
File Size	359493
Page Count	4
File Format	PDF
ISBN	0780324315
ISSN	15206149
DOI	10.1109/ICASSP.1995.480028
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Interpolation Nonlinear filters Interference Signal processing Speech coding Random processes Symmetric matrices Covariance matrix Extrapolation
Content Type	Text
Resource Type	Article

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