Optimum estimation via partition functions and information measures
暂无分享,去创建一个
[1] Richard S. Bucy,et al. Information and filtering , 1979, Inf. Sci..
[2] Daniel Pérez Palomar,et al. Gradient of mutual information in linear vector Gaussian channels , 2005, IEEE Transactions on Information Theory.
[3] T. Kailath. The innovations approach to detection and estimation theory , 1970 .
[4] Dongning Guo,et al. Relative entropy and score function: New information-estimation relationships through arbitrary additive perturbation , 2009, 2009 IEEE International Symposium on Information Theory.
[5] Shlomo Shamai,et al. Additive non-Gaussian noise channels: mutual information and conditional mean estimation , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..
[6] Shlomo Shamai,et al. Mutual information and minimum mean-square error in Gaussian channels , 2004, IEEE Transactions on Information Theory.
[7] Shlomo Shamai,et al. Statistical Physics of Signal Estimation in Gaussian Noise: Theory and Examples of Phase Transitions , 2008, IEEE Transactions on Information Theory.
[8] Todd P. Coleman,et al. Mutual information and posterior estimates in channels of exponential family type , 2009, 2009 IEEE Information Theory Workshop.
[9] Neri Merhav. Optimum Estimation via Gradients of Partition Functions and Information Measures: A Statistical-Mechanical Perspective , 2011, IEEE Transactions on Information Theory.
[10] Sergio Verdú,et al. Mismatched Estimation and Relative Entropy , 2009, IEEE Transactions on Information Theory.
[11] Shlomo Shamai,et al. Mutual Information and Conditional Mean Estimation in Poisson Channels , 2004, IEEE Transactions on Information Theory.
[12] Andrea Montanari,et al. The Generalized Area Theorem and Some of its Consequences , 2005, IEEE Transactions on Information Theory.
[13] T. Duncan. ON THE CALCULATION OF MUTUAL INFORMATION , 1970 .
[14] Daniel Pérez Palomar,et al. Representation of Mutual Information Via Input Estimates , 2007, IEEE Transactions on Information Theory.
[15] Sergio Verdú,et al. A general formula for channel capacity , 1994, IEEE Trans. Inf. Theory.
[16] S. Kak. Information, physics, and computation , 1996 .