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This paper considers the source-channel coding problem of optimally assigning the codewords of an [n,k] binary linear code to the ??-dimensional vectors produced by an IID, uniformly distributed, integer-valued source with alphabet {0, 1, ...,2k/??-1} when overall distortion is measured by mean squared error (MSE). It finds explicit formulas for the optimal encoding rule, minimum MSE decoding rule,...
This paper finds the best binary linear block codes to use when an IID uniform source is uniform scalar quantized for transmission over a binary symmetric channel, with performance measured by mean squared error (MSE). The best code is found by optimizing the source-channel rate allocation, the linear code, and the assignment of its codewords to quantization indices. A table shows the maximum attained...
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