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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Muresan, D. Effros, M. |
| Copyright Year | 1963 |
| Abstract | An algorithm for scalar quantizer design on discrete-alphabet sources is proposed. The proposed algorithm can be used to design fixed-rate and entropy-constrained conventional scalar quantizers, multiresolution scalar quantizers, multiple description scalar quantizers, and Wyner-Ziv scalar quantizers. The algorithm guarantees globally optimal solutions for conventional fixed-rate scalar quantizers and entropy-constrained scalar quantizers. For the other coding scenarios, the algorithm yields the best code among all codes that meet a given convexity constraint. In all cases, the algorithm run-time is polynomial in the size of the source alphabet. The algorithm derivation arises from a demonstration of the connection between scalar quantization, histogram segmentation, and the shortest path problem in a certain directed acyclic graph. |
| Sponsorship | IEEE Information Theory Society |
| Starting Page | 344 |
| Ending Page | 366 |
| Page Count | 23 |
| File Size | 623565 |
| File Format | |
| ISSN | 00189448 |
| Volume Number | 54 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-01-01 |
| 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 Histograms Algorithm design and analysis Decoding Runtime Polynomials Shortest path problem Data compression Distortion measurement Wyner–Ziv Optimal design multiple descriptions multiresolution scalar quantizer successive refinement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Information Systems Computer Science Applications |
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