Title :
Soft information for source channel coding and decoding
Author :
Chugg, Keith M. ; Demirciler, Kemal ; Ortega, Antonio
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
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).
Keywords :
combined source-channel coding; decoding; quantisation (signal); signal detection; signal processing; trellis codes; channel decoder; channel decoding/detection; channel-source decoder; concatenated subsystems; end-to-end distortion prediction; marginal bit distortion measures; scalar quantization; soft information; soft processing; source channel coding; source channel decoding; source coder; source-channel coder; trellis coded quantization; unequal channel protection design; Channel coding; Concatenated codes; Convolutional codes; Detectors; Distortion measurement; Iterative algorithms; Iterative decoding; Iterative methods; Protection; Turbo codes;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.832346
