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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.13232 |
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| _version_ | 1866929410080243712 |
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| author | Muramatsu, Jun |
| author_facet | Muramatsu, Jun |
| contents | This paper investigates the general distributed lossless/lossy source coding formulated by Jana and Blahut. Their multi-letter rate-distortion region, an alternative to the region derived by Yang and Qin, is characterized by entropy functions for arbitrary general correlated sources. Achievability is shown by constructing a code based on constrained-random number generators. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_13232 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Distributed Source Coding Using Constrained-Random-Number Generators Muramatsu, Jun Information Theory This paper investigates the general distributed lossless/lossy source coding formulated by Jana and Blahut. Their multi-letter rate-distortion region, an alternative to the region derived by Yang and Qin, is characterized by entropy functions for arbitrary general correlated sources. Achievability is shown by constructing a code based on constrained-random number generators. |
| title | Distributed Source Coding Using Constrained-Random-Number Generators |
| topic | Information Theory |
| url | https://arxiv.org/abs/2401.13232 |