NDLI: Iterative source-channel decoding design using distortion based index assignment and joint redundant information

Content Provider	IEEE Xplore Digital Library
Author	Chun-Feng Wu Wei-Ho Chung
Copyright Year	2013
Description	Author affiliation: Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan (Chun-Feng Wu; Wei-Ho Chung)
Abstract	This work presents a convolutional coded iterative source-channel decoding (ISCD) to improve the fidelity of joint source-channel coded systems through designing index assignment (IA). A proposed end-to-end distortion based IA generates the joint redundant bits to provide more useful information for source and channel decoders. Specifically, such joint redundant bit not only enhances the error-correcting capacity of source codes but also provides the self-concatenated convolutional codes instead of convolutional codes for ISCD. In contrast to the conventional ISCD, our proposed ISCD employs the self-iterative channel decoding algorithm, and the extrinsic information exchange can be further enhanced through joint redundant bits. With considering joint redundant bits, we propose a modified source decoder with the goal to extract the extrinsic information for the self-iterative channel decoder. Simulation results show the proposed ISCD with our designed IA can further improve the Parameter Signal-to-Noise ratio performance.
Starting Page	95
Ending Page	99
File Size	622535
Page Count	5
File Format	PDF
ISBN	9781467362382
ISSN	21623562
DOI	10.1109/SiPS.2013.6674487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-16
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	iterative source-channel decoding Source decoding index assignment
Content Type	Text
Resource Type	Article

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