Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics
暂无分享,去创建一个
Shlomo Shamai | Anthony J. Weiss | Ido Kanter | Ori Shental | Noam Shental | Yair Weiss | Yair Weiss | N. Shental | I. Kanter | S. Shamai | A. Weiss | O. Shental
[1] Joseph A. O'Sullivan,et al. Iterative decoding and equalization for 2-D recording channels , 2002 .
[2] Alain Glavieux,et al. Reflections on the Prize Paper : "Near optimum error-correcting coding and decoding: turbo codes" , 1998 .
[3] Valerii M. Vinokur,et al. Vortices in high-temperature superconductors , 1994 .
[4] J. Laurie Snell,et al. Markov Random Fields and Their Applications , 1980 .
[5] David J. Spiegelhalter,et al. Probabilistic Networks and Expert Systems , 1999, Information Science and Statistics.
[6] Jung-Fu Cheng,et al. Turbo Decoding as an Instance of Pearl's "Belief Propagation" Algorithm , 1998, IEEE J. Sel. Areas Commun..
[7] Brendan J. Frey,et al. Factor graphs and the sum-product algorithm , 2001, IEEE Trans. Inf. Theory.
[8] Shlomo Shamai,et al. Mutual information and minimum mean-square error in Gaussian channels , 2004, IEEE Transactions on Information Theory.
[9] Toshiyuki Tanaka,et al. A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors , 2002, IEEE Trans. Inf. Theory.
[10] R. Baxter. Exactly solved models in statistical mechanics , 1982 .
[11] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Aleksandar Kavcic,et al. Markov sources achieve the feedback capacity of finite-state machine channels , 2002, Proceedings IEEE International Symposium on Information Theory,.
[13] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[14] John Cocke,et al. Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) , 1974, IEEE Trans. Inf. Theory.
[15] Robert G. Gallager,et al. Low-density parity-check codes , 1962, IRE Trans. Inf. Theory.
[16] E. Lindenstrauss. Pointwise theorems for amenable groups , 1999 .
[17] M. Mézard,et al. Spin Glass Theory and Beyond , 1987 .
[18] P. Gehler,et al. An introduction to graphical models , 2001 .
[19] Shlomo Shamai,et al. On the achievable information rates of finite-state input two-dimensional channels with memory , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..
[20] William T. Freeman,et al. Constructing free-energy approximations and generalized belief propagation algorithms , 2005, IEEE Transactions on Information Theory.
[21] P. Siegel,et al. Information rates of two-dimensional finite state ISI channels , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..
[22] Benjamin Weiss,et al. Entropy and recurrence rates for stationary random fields , 2002, IEEE Trans. Inf. Theory.
[23] Shlomo Shamai,et al. The intersymbol interference channel: lower bounds on capacity and channel precoding loss , 1996, IEEE Trans. Inf. Theory.
[24] Bane Vasic,et al. Coding and Signal Processing for Magnetic Recording Systems , 2004 .
[25] Andries P. Hekstra,et al. Signal processing and coding for two-dimensional optical storage , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).
[26] M. Opper,et al. Advanced mean field methods: theory and practice , 2001 .
[27] Michael I. Jordan. Learning in Graphical Models , 1999, NATO ASI Series.
[28] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[29] Jack K. Wolf,et al. Iterative detection of 2-dimensional ISI channels , 2003, Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674).
[30] Brendan J. Frey,et al. Graphical Models for Machine Learning and Digital Communication , 1998 .
[31] J.E. Mazo,et al. Digital communications , 1985, Proceedings of the IEEE.
[32] Invited,et al. Abstract , 1985 .
[33] Aaron D. Wyner,et al. Shannon-theoretic approach to a Gaussian cellular multiple-access channel , 1994, IEEE Trans. Inf. Theory.
[34] Joseph A. O'Sullivan,et al. Joint equalization and decoding for nonlinear two-dimensional intersymbol interference channels , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..
[35] M.A. Iqbal,et al. Simulation-based estimation of the capacity of full-surface channels , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..
[36] Keith M. Chugg,et al. Two-dimensional equalization in coherent and incoherent page-oriented optical memory , 1999 .
[37] Paul H. Siegel,et al. Markov Processes Asymptotically Achieve the Capacity of Finite-State Intersymbol Interference Channels , 2004, IEEE Transactions on Information Theory.
[38] Aleksandar Kavcic. On the capacity of Markov sources over noisy channels , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).
[39] Sergio Verdu,et al. Multiuser Detection , 1998 .
[40] Wei Zeng,et al. Simulation-Based Computation of Information Rates for Channels With Memory , 2006, IEEE Transactions on Information Theory.
[41] Walter Hirt. Capacity and information rates of discrete-time channels with memory , 1988 .
[42] Shlomo Shamai,et al. Information rates for a discrete-time Gaussian channel with intersymbol interference and stationary inputs , 1991, IEEE Trans. Inf. Theory.
[43] L. Onsager. Crystal statistics. I. A two-dimensional model with an order-disorder transition , 1944 .
[44] Paul H. Siegel,et al. On the symmetric information rate of two-dimensional finite-state ISI channels , 2006, IEEE Transactions on Information Theory.
[45] H. Nishimori. Statistical Physics of Spin Glasses and Information Processing , 2001 .
[46] William Weeks. Full-Surface Data Storage , 2000 .
[47] Sumit Roy,et al. Two-dimensional equalization: theory and applications to high density magnetic recording , 1994, IEEE Trans. Commun..
[48] Radford M. Neal,et al. Near Shannon limit performance of low density parity check codes , 1996 .
[49] Payam Pakzad,et al. Kikuchi approximation method for joint decoding of LDPC codes and partial-response channels , 2006, IEEE Transactions on Communications.
[50] A. Glavieux,et al. Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1 , 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.
[51] Anthony J. Weiss,et al. Generalized belief propagation receiver for near-optimal detection of two-dimensional channels with memory , 2004, Information Theory Workshop.
[52] B. Leroux. Stochastic Processes and Their Applications Maximum-likelihood Estimation for Hidden Markov Models Markov Chain * Consistency * Subadditive Ergodic Theorem * Identifiability * Entropy * Kullback-leibler Divergence * Shannon-mcmillan-breiman Theorem , 2022 .
[53] W. Freeman,et al. Generalized Belief Propagation , 2000, NIPS.
[54] Ido Kanter,et al. Statistical mechanical aspects of joint source-channel coding , 2003 .
[55] Joseph A. O'Sullivan,et al. Iterative detection and decoding for separable two-dimensional intersymbol interference , 2003 .
[56] D. Ornstein,et al. The Shannon-McMillan-Breiman theorem for a class of amenable groups , 1983 .