DocumentCode
542719
Title
Iterative source-channel decoding for robust image transmission
Author
Kliewer, Jorg ; Gortz, Norbert
Author_Institution
University of Kiel, Institute for Circuits and Systems Theory, 24143, Germany
Volume
3
fYear
2002
fDate
13-17 May 2002
Abstract
In this paper we discuss the application of a joint source-channel decoding approach to image transmission over wireless channels. In addition to channel codes, also the implicit residual redundancy after source encoding in both horizontal and vertical direction is utilized for error protection. At the decoder we use an iterative (“turbo”) source-channel decoder which can be obtained in the same manner as for serially concatenated channel codes. As a new result we show that this iterative decoding scheme in combination with a novel simplified joint source and channel coding rate allocation at the encoder can be successfully employed for protecting the image data, especially when the channel is highly corrupted. Furthermore, when the source correlations are approximated with a large training set at the decoder, only a small loss in performance is observed.
Keywords
AWGN; Channel estimation; Decoding; Erbium; Estimation; Markov processes; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5745073
Filename
5745073
Link To Document