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))).
Original language | English |
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Title of host publication | 2017 IEEE International Symposium on Information Theory, ISIT 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 96-100 |
Number of pages | 5 |
ISBN (Electronic) | 9781509040964 |
DOIs | |
State | Published - 9 Aug 2017 |
Externally published | Yes |
Event | 2017 IEEE International Symposium on Information Theory, ISIT 2017 - Aachen, Germany Duration: 25 Jun 2017 → 30 Jun 2017 |
Publication series
Name | IEEE International Symposium on Information Theory - Proceedings |
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ISSN (Print) | 2157-8095 |
Conference
Conference | 2017 IEEE International Symposium on Information Theory, ISIT 2017 |
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Country/Territory | Germany |
City | Aachen |
Period | 25/06/17 → 30/06/17 |
Bibliographical note
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