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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vereshchagin, N.K. Vitányi, P.M.B. |
| Copyright Year | 1963 |
| Abstract | We examine the structure of families of distortion balls from the perspective of Kolmogorov complexity. Special attention is paid to the canonical rate-distortion function of a source word which returns the minimal Kolmogorov complexity of all distortion balls containing that word subject to a bound on their cardinality. This canonical rate-distortion function is related to the more standard algorithmic rate-distortion function for the given distortion measure. Examples are given of list distortion, Hamming distortion, and Euclidean distortion. The algorithmic rate-distortion function can behave differently from Shannon's rate-distortion function. To this end, we show that the canonical rate-distortion function can and does assume a wide class of shapes (unlike Shannon's); we relate low algorithmic mutual information to low Kolmogorov complexity (and consequently suggest that certain aspects of the mutual information formulation of Shannon's rate-distortion function behave differently than would an analogous formulation using algorithmic mutual information); we explore the notion that low Kolmogorov complexity distortion balls containing a given word capture the interesting properties of that word (which is hard to formalize in Shannon's theory) and this suggests an approach to denoising. |
| Sponsorship | IEEE Information Theory Society |
| Starting Page | 3438 |
| Ending Page | 3454 |
| Page Count | 17 |
| File Size | 435298 |
| File Format | |
| ISSN | 00189448 |
| Volume Number | 56 |
| Issue Number | 7 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Rate-distortion Noise reduction Distortion measurement Mutual information Shape Region 8 Frequency Measurement standards Rate distortion theory Information analysis shapes of curves Algorithmic rate distortion characterization denoising distortion families fitness of destination words individual data Kolmogorov complexity rate distortion |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Information Systems Computer Science Applications |
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