Rate Region of the Vector Gaussian One-Helper Source-Coding Problem
暂无分享,去创建一个
[1] Patrick P. Bergmans,et al. A simple converse for broadcast channels with additive white Gaussian noise (Corresp.) , 1974, IEEE Trans. Inf. Theory.
[2] Yasutada Oohama. Gaussian multiterminal source coding , 1997, IEEE Trans. Inf. Theory.
[3] Thomas M. Cover,et al. Elements of Information Theory: Cover/Elements of Information Theory, Second Edition , 2005 .
[4] Guoqiang Zhang. On the Rate Region of the Vector Gaussian One-Helper Distributed Source-Coding Problem , 2011, 2011 Data Compression Conference.
[5] Aaron B. Wagner,et al. Rate Region of the Gaussian Scalar-Help-Vector Source-Coding Problem , 2012, IEEE Trans. Inf. Theory.
[6] Tie Liu,et al. An Extremal Inequality Motivated by Multiterminal Information-Theoretic Problems , 2006, IEEE Transactions on Information Theory.
[7] Yasutada Oohama,et al. Rate-distortion theory for Gaussian multiterminal source coding systems with several side informations at the decoder , 2005, IEEE Transactions on Information Theory.
[8] Shlomo Shamai,et al. The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.
[9] Vinod M. Prabhakaran,et al. Rate region of the quadratic Gaussian CEO problem , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..
[10] Pramod Viswanath,et al. Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem , 2005, IEEE Transactions on Information Theory.
[11] Toby Berger,et al. The quadratic Gaussian CEO problem , 1997, IEEE Trans. Inf. Theory.
[12] Jack K. Wolf,et al. Noiseless coding of correlated information sources , 1973, IEEE Trans. Inf. Theory.
[13] Aaron B. Wagner,et al. Vector Gaussian hypothesis testing and lossy one-helper problem , 2009, 2009 IEEE International Symposium on Information Theory.
[14] Toby Berger,et al. The CEO problem [multiterminal source coding] , 1996, IEEE Trans. Inf. Theory.
[15] Aaron B. Wagner,et al. Distributed Rate-Distortion With Common Components , 2011, IEEE Transactions on Information Theory.
[16] S. Sandeep Pradhan,et al. Lattices for Distributed Source Coding: Jointly Gaussian Sources and Reconstruction of a Linear Function , 2007, IEEE Transactions on Information Theory.
[17] Aaron B. Wagner. On Distributed Compression of Linear Functions , 2011, IEEE Transactions on Information Theory.