Title :
Design and performance of VQ-based hybrid digital-analog joint source-channel codes
Author :
Skoglund, Mikael ; Phamdo, Nam ; Alajaji, Fady
Author_Institution :
Dept. of Signals, Sensors & Syst., R. Inst. of Technol., Stockholm, Sweden
fDate :
3/1/2002 12:00:00 AM
Abstract :
A joint source-channel hybrid digital-analog (HDA) vector quantization (VQ) system is presented. The main advantage of the new VQ-based HDA system is that it achieves excellent rate-distortion-capacity performance at the design signal-to-noise ratio (SNR) while maintaining a "graceful improvement" characteristic at higher SNRs. It is demonstrated that, within the HDA framework, the parameters of the system can be optimized using an iterative procedure similar to that of channel-optimized vector quantizer design. Comparisons are made with three purely digital systems and one purely analog system. It is found that, at high SNRs, the VQ-based HDA system is superior to the other investigated systems. At low SNRs, the performance of the new scheme can be improved using the optimization procedure and using soft decoding in the digital part of the system. These results demonstrate that the introduced scheme provides an attractive method for terrestrial broadcasting applications
Keywords :
AWGN; AWGN channels; broadcasting; channel capacity; combined source-channel coding; decoding; iterative methods; optimisation; rate distortion theory; vector quantisation; AWGN channel; Gauss-Markov sources; Gaussian channel; SNR; VQ-based HDA system; additive white Gaussian noise channel; analog system; channel-optimized vector quantizer design; digital systems; hybrid digital-analog source-channel codes; iterative procedure; memoryless sources; optimization procedure; rate-distortion-capacity performance; signal-to-noise ratio; soft decoding; soft-output demodulation; terrestrial broadcasting applications; vector quantization; Councils; Degradation; Design optimization; Digital systems; Digital-analog conversion; Electric breakdown; Signal design; Signal to noise ratio; Source coding; Vector quantization;
Journal_Title :
Information Theory, IEEE Transactions on