# Entropy (information theory)

## Papers overview

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Highly Cited

2011

Highly Cited

2011

- IEEE Transactions on Information Theory
- 2011

While most useful information theoretic inequalities can be deduced from the basic properties of entropy or mutual informationâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- Applied Mathematics and Computation
- 2008

This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local informationâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- 2002

We describe and develop a close relationship between two problems that have customarily been regarded as distinct: that ofâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- IEEE Symposium on Security and Privacy
- 2001

Anomaly detection is an essential component of the protection mechanisms against novel attacks. In this paper, we propose to useâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- IEEE Trans. Information Theory
- 1998

Given n discrete random variables = fX1; ; Xng, associated with any subset of f1; 2; ; ng, there is a joint entropy H(X ) where Xâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- 1994

In statistical physics, useful notions of entropy are defined with respect to some coarse graining procedure over a microscopicâ€¦Â (More)

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Highly Cited

1992

Highly Cited

1992

- IEEE Trans. Information Theory
- 1992

Adapted waveform analysis uses a library of orthonormal bases and an efficiency functional to match a basis to a given signal orâ€¦Â (More)

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Highly Cited

1991

Highly Cited

1991

- IEEE Trans. Information Theory
- 1991

A new class of information-theoretic divergence measures based on the Shannon entropy is introduced. Unlike the well-knownâ€¦Â (More)

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Highly Cited

1967

Highly Cited

1967

- Kybernetika
- 1967

Institute of Mathematics of the Academy of Sciences of the Czech Republic provides access to digitized documents strictly forâ€¦Â (More)

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Highly Cited

1953

Highly Cited

1953

- 1953

probability and information theory with application to radar probability and information theory with application to radarâ€¦Â (More)

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