NDLI: Multiple-Description Coding by Dithered Delta

Content Provider	IEEE Xplore Digital Library
Author	Ostergaard, J. Zamir, R.
Copyright Year	1963
Abstract	We address the connection between the multiple-description (MD) problem and delta-sigma quantization. The inherent redundancy due to oversampling in delta-sigma quantization, and the simple linear-additive noise model resulting from dithered lattice quantization, allow us to construct a symmetric and time-invariant MD coding scheme. We show that the use of a noise-shaping filter makes it possible to trade off central distortion for side distortion. Asymptotically, as the dimension of the lattice vector quantizer and order of the noise-shaping filter approach infinity, the entropy rate of the dithered delta-sigma quantization scheme approaches the symmetric two-channel MD rate-distortion function for a memoryless Gaussian source and mean square error (MSE) fidelity criterion, at any side-to-central distortion ratio and any resolution. In the optimal scheme, the infinite-order noise-shaping filter must be minimum phase and have a piecewise flat power spectrum with a single jump discontinuity. An important advantage of the proposed design is that it is symmetric in rate and distortion by construction, so the coding rates of the descriptions are identical and there is therefore no need for source splitting.
Sponsorship	IEEE Information Theory Society
Starting Page	4661
Ending Page	4675
Page Count	15
File Size	410459
File Format	PDF
ISSN	00189448
Volume Number	55
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization Noise shaping Filters Lattices Redundancy H infinity control Entropy Rate-distortion Mean square error methods Rate distortion theory vector quantization Delta–Sigma modulation dithered lattice quantization entropy coding joint source–channel coding multiple-description (MD) coding
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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