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Joint entropy

In information theory, joint entropy is a measure of the uncertainty associated with a set of variables.
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Papers overview

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2016
2016
Physical Unclonable Functions (PUFs) are circuits which extract a device dependent secret from inherently available… 
2015
2015
Background: Differences in regional lumbar angles in sitting have been observed between subclassified groups of NSCLBP patients… 
2014
2014
In this brief report we revisit the concept of "quantum dissension", which was introduced as a natural extension of quantum… 
2013
2013
We proposed an approach for estimating the density of salt-pepper noise in images using joint entropy value. The joint entropy… 
2011
2011
M obile Ad-hoc networks are constrained by constantly changing topology, uncertain channel conditions and limited resources… 
2009
2009
Objective. To compare efficacy of different variants of combined disease modifying treat- ment in rheumatoid arthritis (RA… 
2002
2002
We study the design of entropy-constrained multiterminal quantizers for coding two correlated continuous sources. Two design… 
1995
1995
In this paper an adaptive compliant motion control is presented for either constant admittance or constant force mode of… 
Review
1994
Review
1994
The paper reviews the current procedures for analysing the environmental data that are used in the prediction of extreme offshore… 
1988
1988
An allometric model is used to estimate the productivity of natural phytoplankton assemblages. The 14C fixation rates of > 5 ~m…