Soft information for source channel coding and decoding

Soft processing is an effective method used in channel decoding/detection for a system comprising concatenated subsystems. We consider the source-channel coder and the channel-source decoder as such a system and demonstrate how the principles of soft processing can be applied to coding and decoding....

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Bibliographic Details
Published in:Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020) Vol. 1; pp. 326 - 331 vol.1
Main Authors: Chugg, K.M., Demirciler, K., Ortega, A.
Format: Conference Proceeding
Language:English
Published: IEEE 1999
Subjects:
Channel coding
Concatenated codes
Convolutional codes
Detectors
Distortion measurement
Iterative algorithms
Iterative decoding
Iterative methods
Protection
Turbo codes
ISBN:9780780357006, 0780357000
ISSN:1058-6393
Online Access:Get full text
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Summary:Soft processing is an effective method used in channel decoding/detection for a system comprising concatenated subsystems. We consider the source-channel coder and the channel-source decoder as such a system and demonstrate how the principles of soft processing can be applied to coding and decoding. This is based on the identification of marginal bit distortion measures associated with the source coder and the channel decoder. We demonstrate how these marginal measures may be used to predict end-te-end distortion and design unequal channel protection (static or dynamic).
ISBN:9780780357006
0780357000
ISSN:1058-6393
DOI:10.1109/ACSSC.1999.832346