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Finding the capacity of a quantized binary-input DMC

Authors: Brian M. Kurkoski; Hideki Yagi;

Finding the capacity of a quantized binary-input DMC

Abstract

Consider a binary-input, M-output discrete memoryless channel (DMC) where the outputs are quantized to K levels, with K < M. The subject of this paper is the maximization of mutual information between the input and quantizer output, over both the input distribution and channel quantizer. This can be regarded as finding the capacity of a quantized DMC. An algorithm is given, which either finds the optimal input distribution and corresponding quantizer, or declares a failure.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
7
Top 10%
Top 10%
Average
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