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A binary-input, memoryless channel with a continuous-valued output quantized to one bit is considered. For arbitrary noise models, conditions on an optimal quantizer, in the sense of maximizing mutual information between the channel input and the quantizer output, are given. This result is obtained by considering the “backward” channel and applying Burshtein et al.'s theorem on optimal classification...
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