An Improved Encoder for Joint Source-Channel Decoder Using Conditional Entropy Constraint

Moonseo PARK  Seong-Lyun KIM  

IEICE TRANSACTIONS on Communications   Vol.E92-B   No.6   pp.2222-2225
Publication Date: 2009/06/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E92.B.2222
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Fundamental Theories for Communications
conditional entropy-constrained vector quantizer,  hidden Markov model,  joint source-channel coding,  

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When the joint source-channel (JSC) decoder is used for source coding over noisy channels, the JSC decoder may invent errors even though the received data is not corrupted by the channel noise, if the JSC decoder assumes the channel was noisy. A novel encoder algorithm has been recently proposed to improve the performance of the communications system under this situation. In this letter, we propose another algorithm based on conditional entropy-constrained vector quantizer to further improve the encoder. The algorithm proposed in this letter significantly improves the performance of the communications system when the hypothesized channel bit error rate is high.