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Entropy power inequality

Known as: EPI 
In mathematics, the entropy power inequality is a result in information theory that relates to so-called "entropy power" of random variables. It… 
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Related topics

Related topics

11 relations
A Mathematical Theory of CommunicationConditional entropyDifferential entropyEntropy (information theory)

Broader (1)

Information theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Entropy Power Inequality in Fermionic Quantum Computation
We study quantum computation relations on unital finite-dimensional CAR $C^{*}$-algebras. We prove an entropy power inequality… 
2018
2018
New Connections Between the Entropy Power Inequality and Geometric Inequalities
The entropy power inequality (EPI) has a fundamental role in Information Theory, and has deep connections with famous geometric… 
2018
2018
Universal upper bounds for Gaussian information capacity
2017
2017
Infinity-Rényi entropy power inequalities
An optimal ∞-Rényi entropy power inequality is derived for d-dimensional random vectors. In fact, the authors establish a matrix… 
2017
2017
Conditional quantum entropy power inequality for d-level quantum systems
We propose an extension of the quantum entropy power inequality for finite dimensional quantum systems, and prove a conditional… 
2017
2017
A min-entropy power inequality for groups
We develop a general notion of rearrangement for certain metric groups, and prove a Hardy-Littlewood type inequality. Combining… 
2016
2016
Wasserstein Stability of the Entropy Power Inequality for Log-Concave Densities
We establish quantitative stability results for the entropy power inequality (EPI). Specifically, we show that if uniformly log… 
2012
2012
An Alternative Proof of an Extremal Entropy Inequality
This paper first focuses on deriving an alternative approach for proving an extremal entropy inequality (EEI), originally… 
2012
2012
Heat equation and the sharp Young's inequality
We show that the sharp Young’s inequality for convolutions first obtained by Bechner [2] and Brascamp-Lieb [7] can be derived… 
2010
2010
It's Easier to Approximate
Shannon provided an exact characterization of the fundamental limits of point-to-point communication. After almost 40 years of… 
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