Title :
Source-channel coding strategies: tandem coding vs. channel-optimized quantization
Author :
Lim, Jongtae ; Neuhoff, David L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Two source-channel coding strategies, tandem coding and channel-optimized quantization, are compared on the basis of distortion vs. complexity. For each, formulas for the mean-squared error and complexity used to minimize distortion subject to a complexity constraint. The results suggest there is a threshold such that tandem coding is better than channel-optimized quantization when and only when the complexity constraint is larger than the threshold
Keywords :
combined source-channel coding; computational complexity; error statistics; mean square error methods; optimisation; quantisation (signal); BSC error probability; Gauss-Markov correlation coefficient; MSE; binary symmetric channel; channel-optimized quantization; complexity constraint; distortion minimization; joint source-channel coding; mean-squared error; tandem coding; threshold; Bit rate; Channel coding; Decoding; Delay; Distortion measurement; Entropy coding; Gaussian channels; Karhunen-Loeve transforms; Quantization; Reed-Solomon codes;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866535
