Universal Algorithms for Channel Decoding of Uncompressed Sources
| Autor: | Erik Ordentlich, Gadiel Seroussi, Krishnamurthy Viswanathan, Sergio Verdu |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Lossless compression
Channel code Signal processing Computer science Data_CODINGANDINFORMATIONTHEORY Library and Information Sciences Information theory Belief propagation Computer Science Applications Uncompressed video Channel capacity Redundancy (information theory) Redundancy (engineering) Decoding channel coding Algorithm Decoding methods Computer Science::Information Theory Information Systems Communication channel |
| Zdroj: | IEEE Transactions on Information Theory. 54:2243-2262 |
| ISSN: | 0018-9448 |
| DOI: | 10.1109/tit.2008.920187 |
| Popis: | In many applications, an uncompressed source stream is systematically encoded by a channel code (which ignores the source redundancy) for transmission over a discrete memoryless channel. The decoder knows the channel and the code but does not know the source statistics. This paper proposes several universal channel decoders that take advantage of the source redundancy without requiring prior knowledge of its statistics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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