Title :
Frame replenishment coding over noisy channels
Author :
Zhang, L. ; Panchanathan, S. ; Goldberg, M.
Author_Institution :
Telecommun. Res. Inst. of Ontario, Ottawa Univ., Ont., Canada
fDate :
4/1/1993 12:00:00 AM
Abstract :
The authors propose a combined source-channel coding scheme that provides error protection to improve the performance in noisy channels. Two new frame replenishment coding techniques based on vector quantisation (VQ) have been proposed, namely, label replenishment coding using vector quantisation (LRVQ) and codeword replenishment coding using vector quantisation (CWRVQ). The authors compare the performances of LRVQ and CWRVQ in a noiseless channel with that of the basic frame replenishment (BFR) technique, where the performance of BFR is used as a baseline for comparison. In the presence of channel noise, the LRVQ and CWRVQ techniques exhibit serious error propagation and noise effects, resulting in poor performance. The authors propose to use a combined source-channel coding technique with three different error protection schemes, where the bit rates for the source code and channel code are adjusted so as to minimise the mean square error. Simulation results demonstrate that the three error protection schemes provide a significant improvement in performance without sacrificing transmission bandwidth.<>
Keywords :
convolutional codes; image coding; noise; telecommunication channels; vector quantisation; MSE minimisation; VQ; basic frame replenishment; bit rates; codeword replenishment coding; combined source-channel coding scheme; convolutional codes; error propagation; error protection; frame replenishment coding techniques; image coding; label replenishment coding; mean square error; noise effects; noisy channels; performance; transmission bandwidth; vector quantisation;
Journal_Title :
Communications, Speech and Vision, IEE Proceedings I