DocumentCode :
1251281
Title :
Joint source-channel (de-)coding for mobile communications
Author :
Fingscheidt, Tim ; Hindelang, Thomas ; Cox, Richard V. ; Seshadri, Nambi
Author_Institution :
AT&T Labs-Research, Florham Park, NJ, USA
Volume :
50
Issue :
2
fYear :
2002
fDate :
2/1/2002 12:00:00 AM
Firstpage :
200
Lastpage :
212
Abstract :
Real world source coding algorithms usually leave a certain amount of redundancy within the coded bit stream. Shannon (1948) already mentioned that this redundancy can be exploited at the receiver side to achieve a higher robustness against channel errors. We show how joint source-channel decoding can be performed in a way that is applicable to any mobile communication system standard. Considerable gains in terms of bit error rate or signal-to-noise ratio (SNR) are possible dependent on the amount of redundancy. However, an even better performance can be achieved by changing also the transmitter sided source and channel encoders. We propose an encoding concept employing low-dimensional quantization. Keeping the gross bit rate as well as the clean channel quality the same, it decreases the complexity of the source encoder and the decoder significantly. Finally, we give an application of our methods to spectral coefficient coding in speech transmission over a Rayleigh fading channel resulting in channel SNR gains of about 2 dB as compared to state-of-the-art (de-)coding and bad frame handling methods
Keywords :
AWGN channels; Rayleigh channels; combined source-channel coding; correlation methods; decoding; error statistics; mobile radio; noise; quantisation (signal); spectral analysis; speech coding; AWGN channel; BER; Rayleigh fading channel; SNR; bit error rate; channel errors; channel quality; coded bit stream redundancy; interframe correlation; intraframe correlation; joint source-channel coding; joint source-channel decoding; low-dimensional quantization; mobile communication system standard; signal-to-noise ratio; source coding algorithms; source decoder complexity; source encoder complexity; spectral coefficient coding; speech transmission; Bit error rate; Communication standards; Decoding; Mobile communication; Quantization; Redundancy; Robustness; Signal to noise ratio; Source coding; Transmitters;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.983317
Filename :
983317
Link To Document :
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