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Binary entropy function

Known as: Bernoulli entropy, Binary entropy 
In information theory, the binary entropy function, denoted or , is defined as the entropy of a Bernoulli process with probability of success… 
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Papers overview

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2017
2017
A Fog radio access network is considered as a network architecture candidate to meet the soaring demand in terms of reliability… 
2016
2016
The exponential server timing channel is known to be the simplest, and in some sense canonical, queuing timing channel. The… 
2012
2012
For satellite image non-linear small objects, a new feature extraction algorithm is proposed. This algorithm extracts features in… 
2007
2007
A fundamental question in sensor networks is to determine the sensing capacity – the minimum number of sensors necessary to… 
2005
2005
A novel source coding scheme based on turbo codes was presented in [1]. Lossless data compression is thereby achieved by… 
2001
2001
Recursive interleaved entropy coding is a promising new adaptable binary entropy coding technique that offers fast encoding and… 
2000
2000
The input-output weight enumeration (distribution) function of the ensemble of serially concatenated turbo codes is derived… 
1987
1987
Families of zero-error codes for the real binary adder channel with feedback that achieve high rate pairs are introduced. Two… 
1985
1985
Complete decoding of systematic linear block codes by standard arrays with coset leaders not necessarily of minimal weight gives… 
1974
1974
It is shown that the fraction p of ones in the Mn positions of M distinct binary n-tuples satisfies a given inequality. This…