Finding Minimax Codes for Classes of Sources

L.B. Wolfe (USA)


Signal Processing for Communications; Channel Estimation;Source Coding; Quantization; Bayesian Statistics


This paper suggests a signal processing method for finding the minimax codes which minimize the maximum redundancies over a class of sources with either a discrete or a continuous alphabet where relative entropy (cross entropy; discrimination information) is adopted as a criterion to measure the redundancy. An efficient algorithm is presented, and a computational complexity analysis and numerical study demonstrates the efficiency of the method.

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