Rate Region of the Gaussian Scalar-Help-Vector Source-Coding Problem

We determine the rate region of the Gaussian one-helper source-coding problem in which the helper observes a scalar, the main encoder observes a vector, and the distortion constraint is a positive semidefinite upper bound on the error covariance matrix of the main source. The rate region is achieved by a Gaussian achievable scheme. We introduce a novel outer bounding technique to establish the converse. Our approach is to create a reduced dimensional problem by projecting the main source and the distortion constraint in certain directions determined by the optimal Gaussian scheme. We also provide an outer bound to the rate region of the more general problem in which there are distortion constraints on both sources. This outer bound is partially tight in general and completely tight in some nontrivial cases.

[1]  Aaron B. Wagner,et al.  Rate Region of the Gaussian Scalar-Help-Vector Source-Coding Problem , 2012, IEEE Trans. Inf. Theory.

[2]  Aaron D. Wyner,et al.  The rate-distortion function for source coding with side information at the decoder , 1976, IEEE Trans. Inf. Theory.

[3]  Patrick P. Bergmans,et al.  A simple converse for broadcast channels with additive white Gaussian noise (Corresp.) , 1974, IEEE Trans. Inf. Theory.

[4]  Jack K. Wolf,et al.  Noiseless coding of correlated information sources , 1973, IEEE Trans. Inf. Theory.

[5]  Aaron B. Wagner,et al.  Vector Gaussian hypothesis testing and lossy one-helper problem , 2009, 2009 IEEE International Symposium on Information Theory.

[6]  Toby Berger,et al.  The quadratic Gaussian CEO problem , 1997, IEEE Trans. Inf. Theory.

[7]  Zhen Zhang,et al.  On the CEO problem , 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.

[8]  Toby Berger,et al.  The CEO problem [multiterminal source coding] , 1996, IEEE Trans. Inf. Theory.

[9]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[10]  Tie Liu,et al.  An Extremal Inequality Motivated by Multiterminal Information-Theoretic Problems , 2006, IEEE Transactions on Information Theory.

[11]  Shlomo Shamai,et al.  The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.

[12]  Yasutada Oohama Gaussian multiterminal source coding , 1997, IEEE Trans. Inf. Theory.

[13]  Hua Wang,et al.  Vector Gaussian Multiple Description With Two Levels of Receivers , 2006, IEEE Transactions on Information Theory.

[14]  Chao Tian,et al.  Remote Vector Gaussian Source Coding With Decoder Side Information Under Mutual Information and Distortion Constraints , 2009, IEEE Transactions on Information Theory.

[15]  Pramod Viswanath,et al.  Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem , 2005, IEEE Transactions on Information Theory.

[16]  Axthonv G. Oettinger,et al.  IEEE Transactions on Information Theory , 1998 .