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- W2743468086 abstract "Let X and Y be dependent random variables. We consider the problem of designing a scalar quantizer for Y to maximize the mutual information between its output and X, and study fundamental properties and bounds for this form of quantization. Our main focus is the regime of low I(X; Y), where we show that for a binary X, there always exists an M-level quantizer attaining mutual information of Ω(−M · I(X;Y)/log(I(X;Y)) and that there exist pairs of X, Y for which the mutual information attained by any M-level quantizer is O(−M · I (X;Y)/ log (I(X;Y)))." @default.
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- W2743468086 date "2017-06-01" @default.
- W2743468086 modified "2023-09-26" @default.
- W2743468086 title "Information-distilling quantizers" @default.
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- W2743468086 doi "https://doi.org/10.1109/isit.2017.8006497" @default.
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