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Log sum inequality

In mathematics, the log sum inequality is an inequality which is useful for proving several theorems in information theory.
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Papers overview

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2015
2015
Bayesian inference is a statistical inference technique in which Bayes’ theorem is used to update the probability distribution of… Expand
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2014
2014
We present a new access scheme for the AWGN Multiple Access Channel (MAC). The proposed system is a hybrid scheme consisting of… Expand
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2014
2014
The present communication deals with the development of new coding theorems in terms of channel equivocation, that is, coding is… Expand
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2012
2012
  • Jason L. Williams
  • 15th International Conference on Information…
  • 2012
  • Corpus ID: 17788127
The probability hypothesis density (PHD) and multitarget multi-Bernoulli (MeMBer) filters are two leading algorithms that have… Expand
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2010
2010
In this paper we generalize the familiar notion of the Kullback-Leibler divergence between two probability distribitions on a… Expand
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2009
2009
  • Neri Merhav
  • IEEE Transactions on Information Theory
  • 2009
  • Corpus ID: 2051839
We provide a simple physical interpretation, in the context of the second law of thermodynamics, to the information inequality (a… Expand
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2009
2009
We provide a simple physical interpretation, in the context of the second law of thermodynamics, to the information inequality (a… Expand
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2008
2008
The log-sum inequality is used to prove some theoroms in information theory.As a result is pointed out to be deficient and then… Expand
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2006
2006
The log-suminequality is used to prove two theorems in information theory.As a result is pointed out to be deficient and then be… Expand
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Review
1991
Review
1991
Preface to the Second Edition. Preface to the First Edition. Acknowledgments for the Second Edition. Acknowledgments for the… Expand
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