NDLI: Robust predictive vector quantizer design

Content Provider	IEEE Xplore Digital Library
Author	Khalil, H. Rose, K.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA (Khalil, H.)
Abstract	The design of predictive quantizers generally suffers from difficulties due to the prediction loop, which have an impact on the convergence and the stability of the design procedure. We previously proposed an asymptotically closed-loop approach to quantizer design for predictive coding applications, which benefits from the stability of open-loop design while asymptotically optimizing the actual closed-loop system. In this paper, we present an enhancement to the approach where joint optimization of both predictor and quantizer is performed within the asymptotically closed-loop framework. The proposed design method is tested on synthetic sources (first-order Gauss and Laplacian-Markov sequences), and on natural sources, in particular, line spectral frequency parameters of speech signals.
Sponsorship	Brandeis Univ.
Starting Page	33
Ending Page	42
File Size	481589
Page Count	10
File Format	PDF
ISBN	0769510310
ISSN	10680314
DOI	10.1109/DCC.2001.917134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-03-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Convergence Predictive coding Asymptotic stability Design optimization Design methodology Testing Gaussian processes Frequency Speech
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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