DocumentCode :
639889
Title :
Which Boolean functions are most informative?
Author :
Kumar, G. Ramesh ; Courtade, Thomas A.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
fYear :
2013
fDate :
7-12 July 2013
Firstpage :
226
Lastpage :
230
Abstract :
We introduce a simply stated conjecture regarding the maximum mutual information a Boolean function can reveal about noisy inputs. Specifically, let Xn be i.i.d. Bernoulli(l/2), and let Yn be the result of passing Xn through a memoryless binary symmetric channel with crossover probability α. For any Boolean function b : {0, l}n → {0,1}, we conjecture that I(b(Xn);Yn) ≤ 1 - H (α). While the conjecture remains open, we provide substantial evidence supporting its validity.
Keywords :
Boolean functions; memoryless systems; probability; wireless channels; Boolean function; crossover probability; memoryless binary symmetric channel; Boolean functions; Context; Entropy; Mutual information; Noise measurement; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
ISSN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2013.6620221
Filename :
6620221
Link To Document :
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