Rate–distortion theory is a major branch of information theory which provides the theoretical foundations for lossy data compression; it addresses… (More)

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2013

2013

- Curt Schieler, Paul W. Cuff
- IEEE Transactions on Information Theory
- 2013

Secrecy in communication systems is measured herein by the distortion that an adversary incurs. The transmitter and receiver… (More)

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2008

2008

- T. W. Berger
- 2008 46th Annual Allerton Conference on…
- 2008

The problem of determining the region of achievable rates and distortions for multiterminal lossy source coding remains unsolved… (More)

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2005

Highly Cited

2005

- Yasutada Oohama
- IEEE Transactions on Information Theory
- 2005

In this paper, we consider the separate coding problem for L+1 correlated Gaussian memoryless sources. We deal with the case… (More)

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2004

2004

We propose and develop rate-distortion theory in the Kolmogorov complexity setting. This gives the ultimate limits of lossy… (More)

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2002

2002

- Igor Devetak, Toby Berger
- IEEE Trans. Information Theory
- 2002

We formulate quantum rate-distortion theory in the most general setting where classical side information is included in the… (More)

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1997

Highly Cited

1997

- Hirosuke Yamamoto
- IEEE Trans. Information Theory
- 1997

Rate-distortion theory is considered for the Shannon cipher system (SCS). The admissible region of cryptogram rateR, key rate Rk… (More)

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1996

Highly Cited

1996

- Yossef Steinberg, Sergio Verdú
- IEEE Trans. Information Theory
- 1996

We study the randomness necessary for the simulation of a random process with given distributions, in terms of the finite… (More)

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Highly Cited

1985

Highly Cited

1985

- Chris Heegard, Toby Berger
- IEEE Trans. Information Theory
- 1985

-The problem is considered of encoding a discrete memoryless source when correlated side information may or may not be available… (More)

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1976

Highly Cited

1976

- Aaron D. Wyner, Jacob Ziv
- IEEE Trans. Information Theory
- 1976

Let {(X,, Y,J}r= 1 be a sequence of independent drawings of a pair of dependent random variables X, Y. Let us say that X takes… (More)

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1972

Highly Cited

1972

- Richard E. Blahut
- IEEE Trans. Information Theory
- 1972

A&r&-By defining mutual information as a maximum over an appropriate space, channel capacities can be defined as double maxima… (More)

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