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- Te Sun Han, Kingo Kobayashi
- IEEE Trans. Information Theory
- 1981

Abstruct-A new achievable rate region for the general interference channel which extends previous results is presented and evaluated. Tbe technique used is a generalization of superposition coding to the multivariable case. A detailed computation for tbe Gaussian cbaunel case clarifies to wbat extent the new region improves previous ones. The capacity of a… (More)

- Sergio Verdú, Te Sun Han
- IEEE Trans. Information Theory
- 1994

Abrlracr-A h u l a for the cppecity et arbitrary sbgle-wer chrurwla without feedback (mot neccgdueily Wium" stable, stationary, etc.) is proved. Capacity ie shown to e i p l the supremum, over all input processts, & the input-outpat infiqjknda QBnd as the llnainl ia praabiutJr d the normalized information density. The key to thir zbllljt is a ntw a"c sppmrh… (More)

- Te Sun Han, Sergio Verdú
- IEEE Trans. Information Theory
- 1993

Given a channel and an input process we study the minimum randomness of those input processes whose output statistics approximate the original output statistics with arbitrary accuracy. We introduce the notion of resolvability of a channel, defined as the number of random bits required per channel use in order to generate an input that achieves arbitrarily… (More)

- Te Sun Han
- Information and Control
- 1978

- Te Sun Han, Mamoru Hoshi
- IEEE Trans. Information Theory
- 1997

- Rudolf Ahlswede, Te Sun Han
- IEEE Trans. Information Theory
- 1983

- Te Sun Han, Max H. M. Costa
- IEEE Trans. Information Theory
- 1987

- Te Sun Han
- Information and Control
- 1980

Given a general network of discrete memoryless independent channels with multiple supply nodes and a single sink node, a Slepian-Wolf-Cover type of problem of transmitting multiple correlated informations through the network from the supply nodes to the sink node is considered from the source-channel matching point of view. By introducing the concept of… (More)

- Te Sun Han, Kingo Kobayashi
- IEEE Trans. Information Theory
- 1980

- Te Sun Han
- IEEE Trans. Information Theory
- 1987

Absfruct-The multiterminal hypothesis testing H: XY against @: XY is considered where X”( x”) and Y”(Y”) are separately encoded at rates R, and R *, respectively. The problem is to determine the min imum & of the second kind of error probability, under the condition that the first kind of error probability a,, I c for a prescribed 0 i c < 1. A good lower… (More)