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.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Moonseo PARK, Seong-Lyun KIM, "An Improved Encoder for Joint Source-Channel Decoder Using Conditional Entropy Constraint" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 6, pp. 2222-2225, June 2009, doi: 10.1587/transcom.E92.B.2222.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2222/_p
Copy
@ARTICLE{e92-b_6_2222,
author={Moonseo PARK, Seong-Lyun KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={An Improved Encoder for Joint Source-Channel Decoder Using Conditional Entropy Constraint},
year={2009},
volume={E92-B},
number={6},
pages={2222-2225},
abstract={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.},
keywords={},
doi={10.1587/transcom.E92.B.2222},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - An Improved Encoder for Joint Source-Channel Decoder Using Conditional Entropy Constraint
T2 - IEICE TRANSACTIONS on Communications
SP - 2222
EP - 2225
AU - Moonseo PARK
AU - Seong-Lyun KIM
PY - 2009
DO - 10.1587/transcom.E92.B.2222
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2009
AB - 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.
ER -