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

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概要

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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.

• （社）電子情報通信学会の論文
• 2009-06-01

著者

• Kim Seong-lyun

  Radio Resource Management & Optimization Laboratory Graduate School Of Management Information An

• PARK Moonseo

  Industry-Academic Cooperation Foundation, Yonsei University. Communication Systems Laboratory, Divis

• Kim Seong-lyun

  Radio Resource Management & Optimization Laboratory School Of Electrical And Electronic Engineer

• Park Moonseo

  Industry-academic Cooperation Foundation Yonsei University

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