Reed–Muller Codes Achieve Capacity on Erasure Channels
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Santhosh Kumar | Rüdiger L. Urbanke | Marco Mondelli | Henry D. Pfister | Shrinivas Kudekar | Eren Şaşoǧlu | Eren Sasoglu | R. Urbanke | H. Pfister | Marco Mondelli | S. Kudekar | Santhosh Kumar
[1] Tadao Kasami,et al. On the weight structure of Reed-Muller codes , 1970, IEEE Trans. Inf. Theory.
[2] E. Arkan,et al. A performance comparison of polar codes and Reed-Muller codes , 2008, IEEE Communications Letters.
[3] Tadao Kasami,et al. New generalizations of the Reed-Muller codes-I: Primitive codes , 1968, IEEE Trans. Inf. Theory.
[4] G. Kalai,et al. Every monotone graph property has a sharp threshold , 1996 .
[5] Rüdiger L. Urbanke,et al. Spatially coupled ensembles universally achieve capacity under belief propagation , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.
[6] Erdal Arikan,et al. Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels , 2008, IEEE Transactions on Information Theory.
[7] Amin Coja-Oghlan,et al. The asymptotic k-SAT threshold , 2014, STOC.
[8] Ramprasad Saptharishi,et al. Decoding high rate Reed-Muller codes from random errors in near linear time , 2015, ArXiv.
[9] Assaf Naor,et al. Rigorous location of phase transitions in hard optimization problems , 2005, Nature.
[10] Philippe Delsarte,et al. On cyclic codes that are invariant under the general linear group , 1970, IEEE Trans. Inf. Theory.
[11] F. Didier,et al. A New Upper Bound on the Block Error Probability After Decoding Over the Erasure Channel , 2006, IEEE Transactions on Information Theory.
[12] Thierry P. Berger,et al. The permutation group of affine-invariant extended cyclic codes , 1996, IEEE Trans. Inf. Theory.
[13] Allan Sly,et al. Proof of the Satisfiability Conjecture for Large k , 2014, STOC.
[14] S. Brink. Convergence of iterative decoding , 1999 .
[15] Nicolas Macris,et al. Threshold Saturation for Spatially Coupled LDPC and LDGM Codes on BMS Channels , 2013, IEEE Transactions on Information Theory.
[16] A. Robert Calderbank,et al. Reed-muller codes achieve capacity on the quantum erasure channel , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).
[17] Shirley Dex,et al. JR 旅客販売総合システム(マルス)における運用及び管理について , 1991 .
[18] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[19] Irving S. Reed,et al. A class of multiple-error-correcting codes and the decoding scheme , 1954, Trans. IRE Prof. Group Inf. Theory.
[20] David J. C. MacKay,et al. Good Error-Correcting Codes Based on Very Sparse Matrices , 1997, IEEE Trans. Inf. Theory.
[21] S. Safra,et al. On the hardness of approximating minimum vertex cover , 2005 .
[22] Amnon Ta-Shma,et al. Extractors from Reed-Muller codes , 2001, Proceedings 2001 IEEE International Conference on Cluster Computing.
[23] Jean-Pierre Tillich,et al. Computing the Algebraic Immunity Efficiently , 2006, FSE.
[24] Claude Carlet,et al. Algebraic immunity for cryptographically significant Boolean functions: analysis and construction , 2006, IEEE Transactions on Information Theory.
[25] Thierry P. Berger,et al. The Automorphism Groups of BCH Codes and of Some Affine-Invariant Codes Over Extension Fields , 1999, Des. Codes Cryptogr..
[26] Gilles Zémor,et al. The Gaussian isoperimetric inequality and decoding error probabilities for the Gaussian channel , 2002, IEEE Transactions on Information Theory.
[27] Ronitt Rubinfeld,et al. Self-testing/correcting for polynomials and for approximate functions , 1991, STOC '91.
[28] G. Kalai,et al. Threshold Phenomena and Influence , 2005 .
[29] Daniel A. Spielman,et al. Linear-time encodable and decodable error-correcting codes , 1995, STOC '95.
[30] Anne Canteaut,et al. On cryptographic properties of the cosets of R(1, m) , 2001, IEEE Trans. Inf. Theory.
[31] Ilya Dumer,et al. Recursive decoding and its performance for low-rate Reed-Muller codes , 2004, IEEE Transactions on Information Theory.
[32] Rüdiger L. Urbanke,et al. Reed-Muller Codes Achieve Capacity on the Binary Erasure Channel under MAP Decoding , 2015, ArXiv.
[33] Shu Lin,et al. Polynomial codes , 1968, IEEE Trans. Inf. Theory.
[34] Shu Lin,et al. Error control coding : fundamentals and applications , 1983 .
[35] L. Russo. An approximate zero-one law , 1982 .
[36] 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.
[37] Nathan Linial,et al. Collective coin flipping, robust voting schemes and minima of Banzhaf values , 1985, 26th Annual Symposium on Foundations of Computer Science (sfcs 1985).
[38] N. Linial,et al. The influence of variables in product spaces , 1992 .
[39] Ilya Dumer,et al. Soft-decision decoding of Reed-Muller codes: recursive lists , 2006, IEEE Transactions on Information Theory.
[40] Shachar Lovett,et al. Weight Distribution and List-Decoding Size of Reed–Muller Codes , 2012, IEEE Transactions on Information Theory.
[41] Tadao Kasami,et al. On the Weight Enumeration of Weights Less than 2.5d of Reed-Muller Codes , 1976, Inf. Control..
[42] Madhu Sudan,et al. Highly Resilient Correctors for Polynomials , 1992, Inf. Process. Lett..
[43] Daniel J. Costello,et al. Channel coding: The road to channel capacity , 2006, Proceedings of the IEEE.
[44] N. J. A. Sloane,et al. Weight enumerator for second-order Reed-Muller codes , 1970, IEEE Trans. Inf. Theory.
[45] Ilya Dumer,et al. Soft-decision decoding of Reed-Muller codes: a simplified algorithm , 2006, IEEE Transactions on Information Theory.
[46] Amnon Ta-Shma,et al. Extractors from Reed-Muller Codes , 2001, Electron. Colloquium Comput. Complex..
[47] M. Darnell,et al. Error Control Coding: Fundamentals and Applications , 1985 .
[48] Uri Erez,et al. Cyclic coded integer-forcing equalization , 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[49] W. Cary Huffman,et al. Fundamentals of Error-Correcting Codes , 1975 .
[50] Yuan Zhou. Introduction to Coding Theory , 2010 .
[51] Ilya Dumer,et al. Erasure Correction Performance of Linear Block Codes , 1993, Algebraic Coding.
[52] Edward F. Assmus. The Category of Linear Codes , 1998, IEEE Trans. Inf. Theory.
[53] Michael Viderman,et al. Locally Testable vs. Locally Decodable Codes , 2010, APPROX-RANDOM.
[54] Pascal O. Vontobel,et al. Algebraic coding for iterative decoding , 2003 .
[55] Avi Wigderson,et al. Reed-Muller Codes for Random Erasures and Errors , 2015, IEEE Trans. Inf. Theory.
[56] Ramprasad Saptharishi,et al. Efficiently Decoding Reed–Muller Codes From Random Errors , 2015, IEEE Transactions on Information Theory.
[57] Claude Carlet,et al. On Correlation-Immune Functions , 1991, CRYPTO.
[58] Claude Carlet,et al. On the construction of balanced boolean functions with a good algebraic immunity , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..
[59] Daniel A. Spielman,et al. Efficient erasure correcting codes , 2001, IEEE Trans. Inf. Theory.
[60] Gilles Zémor. Threshold effects in codes , 1993, Algebraic Coding.
[61] M. Talagrand. Isoperimetry, logarithmic sobolev inequalities on the discrete cube, and margulis' graph connectivity theorem , 1993 .
[62] Stephan ten Brink,et al. Extrinsic information transfer functions: model and erasure channel properties , 2004, IEEE Transactions on Information Theory.
[63] E. Wright,et al. An Introduction to the Theory of Numbers , 1939 .
[64] Michael Lentmaier,et al. Iterative Decoding Threshold Analysis for LDPC Convolutional Codes , 2010, IEEE Transactions on Information Theory.
[65] David E. Muller,et al. Application of Boolean algebra to switching circuit design and to error detection , 1954, Trans. I R E Prof. Group Electron. Comput..
[66] Shu Lin,et al. Some Results on Cyclic Codes which Are Invariant under the Affine Group and Their Application , 1966, Inf. Control..
[67] M. Kerimov. The theory of error-correcting codes☆ , 1980 .
[68] Rüdiger L. Urbanke,et al. Modern Coding Theory , 2008 .
[69] J. Bourgain,et al. Influences of Variables and Threshold Intervals under Group Symmetries , 1997 .
[70] Rüdiger L. Urbanke,et al. Spatially Coupled Ensembles Universally Achieve Capacity Under Belief Propagation , 2013, IEEE Trans. Inf. Theory.
[71] F. MacWilliams,et al. The Theory of Error-Correcting Codes , 1977 .
[72] Andrea Montanari,et al. The Generalized Area Theorem and Some of its Consequences , 2005, IEEE Transactions on Information Theory.
[73] Erdal Arikan,et al. A survey of reed-muller codes from polar coding perspective , 2010, 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo).
[74] A. Robert Calderbank,et al. Beyond double transitivity: Capacity-achieving cyclic codes on erasure channels , 2016, 2016 IEEE Information Theory Workshop (ITW).
[75] Rudolf Ahlswede,et al. Good codes can be produced by a few permutations , 1982, IEEE Trans. Inf. Theory.
[76] Rüdiger L. Urbanke,et al. Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC , 2010, IEEE Transactions on Information Theory.
[77] Gilles Zémor,et al. Discrete Isoperimetric Inequalities and the Probability of a Decoding Error , 2000, Combinatorics, Probability and Computing.
[78] Rodney M. Goodman,et al. Any code of which we cannot think is good , 1990, IEEE Trans. Inf. Theory.
[79] Andrea Montanari,et al. Maxwell Construction: The Hidden Bridge Between Iterative and Maximum a Posteriori Decoding , 2005, IEEE Transactions on Information Theory.
[80] Raphael Rossignol. Threshold for monotone symmetric properties through a logarithmic Sobolev inequality , 2005, math/0511607.
[81] Christopher Umans,et al. Simple extractors for all min-entropies and a new pseudo-random generator , 2001, Proceedings 2001 IEEE International Conference on Cluster Computing.
[82] Daniel A. Spielman. Linear-time encodable and decodable error-correcting codes , 1996, IEEE Trans. Inf. Theory.
[83] Shmuel Safra,et al. Threshold Phenomena and Influence, with Some Perspectives from Mathematics, Computer Science, and Economics , 2005 .
[84] Michael Horstein,et al. Review of 'Low-Density Parity-Check Codes' (Gallager, R. G.; 1963) , 1964, IEEE Transactions on Information Theory.
[85] Rudiger Urbanke,et al. From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance , 2014, IEEE Trans. Commun..
[86] Ramprasad Saptharishi,et al. Efficiently Decoding Reed-Muller Codes From Random Errors , 2017, IEEE Trans. Inf. Theory.
[87] Jean-Marie Goethals,et al. On Generalized Reed-Muller Codes and Their Relatives , 1970, Inf. Control..
[88] Robert G. Gallager,et al. Low-density parity-check codes , 1962, IRE Trans. Inf. Theory.
[89] Nathan Linial,et al. Collective Coin Flipping , 1989, Adv. Comput. Res..
[90] Avi Wigderson,et al. Reed–Muller Codes for Random Erasures and Errors , 2014, IEEE Transactions on Information Theory.
[91] Santhosh Kumar,et al. Comparing the bit-MAP and block-MAP decoding thresholds of reed-muller codes on BMS channels , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).
[92] Santhosh Kumar,et al. Reed-Muller Codes Achieve Capacity on Erasure Channels , 2017, IEEE Trans. Inf. Theory.
[93] Gábor Lugosi,et al. Concentration Inequalities - A Nonasymptotic Theory of Independence , 2013, Concentration Inequalities.
[94] Richard E. Blahut. The Gleason-Prange theorem , 1991, IEEE Trans. Inf. Theory.
[95] Sergey Yekhanin,et al. Locally Decodable Codes , 2012, Found. Trends Theor. Comput. Sci..
[96] H. Loeliger,et al. Algebraic Coding for Iterative Decoding , 2022 .
[97] E. Friedgut,et al. Sharp thresholds of graph properties, and the -sat problem , 1999 .
[98] Nathan Linial,et al. The influence of variables on Boolean functions , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.
[99] M. Talagrand. On Russo's Approximate Zero-One Law , 1994 .
[100] Madhu Sudan,et al. 2-Transitivity Is Insufficient for Local Testability , 2008, Computational Complexity Conference.