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Optimal One-Bit Quantization

Authors: Alessandro Magnani; Arpita Ghosh; Robert M. Gray;

Optimal One-Bit Quantization

Abstract

We consider the problem of finding the optimal one-bit quantizer for symmetric source distributions, with the Euclidean norm as the measure of distortion. For fixed rate quantizers, we prove that for (symmetric) monotonically decreasing source distributions with ellipsoidal level curves, the centroids of the optimal 1-bit quantizer must be on the major axis of the ellipsoids. Under the same assumptions on the source distribution, the centroids of the optimal one-bit variable-rate quantizer lie on one of the axes of the ellipsoid. If further, the source distribution f(x) is log-concave in x, the optimal 1-bit fixed-rate quantizer is unique and symmetric about the origin. (The Gaussian is an example of a distribution that satisfies all these conditions.) Under a further set of conditions on the source distributions, we show that there is a threshold below which the optimal fixed rate and variable rate quantizer are the same.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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