Author(s): Weiwei Xiang | Peizhong Lu
Journal: Journal of Networks
ISSN 1796-2056
Volume: 5;
Issue: 4;
Start page: 443;
Date: 2010;
Original page
Keywords: Joint source-channel decoding | variable-length codes | Convolutional codes | Turbo codes
ABSTRACT
Multimedia transmission over time-varying channels such as wireless channels has recently motivated the research on the joint source-channel technique. In this paper, we present a method for joint source-channel soft decision decoding of Huffman encoded multiple sources. By exploiting the a priori bit probabilities in multiple sources, the decoding performance is greatly improved. Compared with the single source decoding scheme addressed by Marion Jeanne, the proposed technique is more practical in wideband wireless communications. Simulation results show our new method obtains substantial improvements with a minor increasing of complexity. For two sources, the gain in SNR is around 1.5dB by using convolutional codes when symbol-error rate (SER) reaches 10-2 and around 2dB by using Turbo codes.
Journal: Journal of Networks
ISSN 1796-2056
Volume: 5;
Issue: 4;
Start page: 443;
Date: 2010;
Original page
Keywords: Joint source-channel decoding | variable-length codes | Convolutional codes | Turbo codes
ABSTRACT
Multimedia transmission over time-varying channels such as wireless channels has recently motivated the research on the joint source-channel technique. In this paper, we present a method for joint source-channel soft decision decoding of Huffman encoded multiple sources. By exploiting the a priori bit probabilities in multiple sources, the decoding performance is greatly improved. Compared with the single source decoding scheme addressed by Marion Jeanne, the proposed technique is more practical in wideband wireless communications. Simulation results show our new method obtains substantial improvements with a minor increasing of complexity. For two sources, the gain in SNR is around 1.5dB by using convolutional codes when symbol-error rate (SER) reaches 10-2 and around 2dB by using Turbo codes.
