Modified Decoding Metric Of Distributed Arithmetic Coding
| Autor: | Lee-Ming Cheng, Mingwei Qi, Junwei Zhou, Yanchao Yang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Code word 020206 networking & telecommunications Hamming distance Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Distributed arithmetic 0202 electrical engineering electronic engineering information engineering Maximum a posteriori estimation Probability distribution 020201 artificial intelligence & image processing Algorithm Decoding methods Computer Science::Information Theory Coding (social sciences) |
| Zdroj: | ICIP |
| DOI: | 10.1109/icip40778.2020.9190950 |
| Popis: | As an alternative implementation of Slepian-Wolf coding, distributed arithmetic coding is very competitive in short and medium block lengths. The existing distributed arithmetic coding decoder uses the maximum a posteriori metric and the M-algorithm to select the decoding sequence by considering the prior information. Since the prior probability distribution has been explored by the encoding process via the model stage and retained in the codeword, we propose a modified decoding metric ignoring the prior information. The reliability of the decoding paths is only determined by the correlation between the side information and the input source. Simulation results show that the modified metric can significantly reduce the decoding error. |
| Databáze: | OpenAIRE |
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