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

Volume

1

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

326

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.832346

Filename

832346