Computing the channel capacity and rate-distortion function with two-sided state information

S. Cheng; Vladimir M. Stankovic; Z. Xiong

doi:10.1109/TIT.2005.859248

Computing the channel capacity and rate-distortion function with two-sided state information

S. Cheng, Vladimir M. Stankovic, Z. Xiong

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

In this correspondence, we present iterative algorithms that numerically compute the capacity-power and rate-distortion functions for coding with two-sided state information. Numerical examples are provided to demonstrate efficiency of our algorithms.

Original language	English
Pages (from-to)	4418-4425
Number of pages	8
Journal	IEEE Transactions on Information Theory
Volume	51
Issue number	12
DOIs	https://doi.org/10.1109/TIT.2005.859248
Publication status	Published - Dec 2005

Keywords

blahut–arimoto algorithm
channel capacity
Wyner–Ziv problem
Gel’fand–Pinsker problem
rate-distortion function

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10.1109/TIT.2005.859248

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title = "Computing the channel capacity and rate-distortion function with two-sided state information",

abstract = "In this correspondence, we present iterative algorithms that numerically compute the capacity-power and rate-distortion functions for coding with two-sided state information. Numerical examples are provided to demonstrate efficiency of our algorithms.",

keywords = "blahut–arimoto algorithm, channel capacity, Wyner–Ziv problem, Gel{\textquoteright}fand–Pinsker problem, rate-distortion function",

author = "S. Cheng and Stankovic, {Vladimir M.} and Z. Xiong",

year = "2005",

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AU - Cheng, S.

AU - Stankovic, Vladimir M.

AU - Xiong, Z.

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N2 - In this correspondence, we present iterative algorithms that numerically compute the capacity-power and rate-distortion functions for coding with two-sided state information. Numerical examples are provided to demonstrate efficiency of our algorithms.

AB - In this correspondence, we present iterative algorithms that numerically compute the capacity-power and rate-distortion functions for coding with two-sided state information. Numerical examples are provided to demonstrate efficiency of our algorithms.

KW - blahut–arimoto algorithm

KW - channel capacity

KW - Wyner–Ziv problem

KW - Gel’fand–Pinsker problem

KW - rate-distortion function

U2 - 10.1109/TIT.2005.859248

DO - 10.1109/TIT.2005.859248

M3 - Article

VL - 51

SP - 4418

EP - 4425

JO - IEEE Transactions on Information Theory

JF - IEEE Transactions on Information Theory

SN - 0018-9448

IS - 12

ER -

Computing the channel capacity and rate-distortion function with two-sided state information

Abstract

Keywords

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