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Maximum likelihood from incomplete data via the EM algorithm

by A. P. Dempster, N. M. Laird, D. B. Rubin - JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B , 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
Abstract - Cited by 11972 (17 self) - Add to MetaCart
A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value

Measures for Tracing Convergence of Iterative Decoding Algorithms

by M. Tüchler, S. Ten Brink, J. Hagenauer - in Proc. 4th IEEE/ITG Conf. on Source and Channel Coding , 2002
"... We study the convergence behavior of turbo decoding, turbo equalization, and turbo bit-interleaved coded modulation in a unified framework, which is to regard all three principles as instances of iterative decoding of two serially concatenated codes. There is a collection of measures in the recent l ..."
Abstract - Cited by 36 (5 self) - Add to MetaCart
literature, which trace the convergence of iterative decoding algorithms based on a single parameter. This parameter is assumed to completely describe the behavior of the soft-in soft-out decoders being part of the iterative algorithm. The measures observe different parameters and were originally applied

Iterative Decoding Algorithms for RS-Convolutional Concatenated Codes

by Meritxell Lamarca Josep, Josep Sala, Alfonso Martínez , 2003
"... This paper presents an iterative decoding algorithm for concatenated codes consisting of a ReedSolomon and a convolutional code, focusing on the code of the DVB-S standard. Existing solutions for the different decoding stages and their interfaces are discussed and their performance is compared. Besi ..."
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This paper presents an iterative decoding algorithm for concatenated codes consisting of a ReedSolomon and a convolutional code, focusing on the code of the DVB-S standard. Existing solutions for the different decoding stages and their interfaces are discussed and their performance is compared

An Iterative Decoding Algorithm of Low Density Parity Check. . .

by T. Wadayama , 2000
"... An iterative decoding algorithm of low density parity check(LDPC) codes for hidden Markov noise channels is presented. The hidden Markov noise channel is an additive noise channel whose noise statistics is modeled by a hidden Markov model(HMM). The proposed decoding algorithm consists of two parts: ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
An iterative decoding algorithm of low density parity check(LDPC) codes for hidden Markov noise channels is presented. The hidden Markov noise channel is an additive noise channel whose noise statistics is modeled by a hidden Markov model(HMM). The proposed decoding algorithm consists of two parts

Iterative Decoding Algorithms for Turbo Product Codes

by Rodica Stoian, Lucian Andrei Perişoară
"... Abstract:- In this paper we introduce the iterative decoding principle, “the turbo principle”, for the bidimensional Turbo Product Codes (TPC’s). The constituent codes used for encoding on rows and columns are two concatenated (7,4) Hamming block codes. Several Soft Input Soft Output (SISO) algorith ..."
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) algorithms can be used for the iterative decoding process. At each iteration, the two decoders decode all rows, then all columns. For particular SISO algorithms, Maximum A Posteriori (MAP) algorithm and Soft Output Viterbi Algorithm (SOVA), the system is simulated and performances, in terms of Bit Error Rate

Introduction to Codes on Graphs and Iterative Decoding Algorithms

by Igal Sason
"... ..."
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Abstract not found

LEC CODES ITERATIVE DECODING ALGORITHM............................................................... 18

by Marco Chiani, Enrico Paolini , 2007
"... 3.4. CCSDS File Delivery Protocol (CFDP)................................................................................. 12 3.5. The reference scenario and the proposed new scenario.......................................................... 13 ..."
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3.4. CCSDS File Delivery Protocol (CFDP)................................................................................. 12 3.5. The reference scenario and the proposed new scenario.......................................................... 13

CAPACITY APPROACHING CODES, ITERATIVE DECODING ALGORITHMS, AND THEIR APPLICATIONS

by unknown authors
"... What is clear today is that Claude Shannon did not make the slightest mistake when he calculat-ed the potential of channel coding and his famous capacity limits. We are now able to attain ..."
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What is clear today is that Claude Shannon did not make the slightest mistake when he calculat-ed the potential of channel coding and his famous capacity limits. We are now able to attain

An Iterative Decoding Algorithm for Channels with Additive Linear Dynamical Noise

by Tadashi WADAYAMA , 2003
"... this paper, an iterative decoding algorithm for channels with additive linear dynamical noise is presented. The proposed algorithm is based on the tightly coupled two inference algorithms: the sum-product algorithm which infers the information symbols of an low density parity check(LDPC) code and th ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
this paper, an iterative decoding algorithm for channels with additive linear dynamical noise is presented. The proposed algorithm is based on the tightly coupled two inference algorithms: the sum-product algorithm which infers the information symbols of an low density parity check(LDPC) code

Deriving Schrödinger Equation From A Soft-Decision Iterative Decoding Algorithm

by Xiaofei Huang, Xiaowu Huang , 2006
"... Abstract — The belief propagation algorithm has been recognized in the information theory community as a soft-decision iterative decoding algorithm. It is the most powerful algorithm found so far for attacking hard optimization problems in channel decoding. Quantum mechanics is the foundation of mod ..."
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Abstract — The belief propagation algorithm has been recognized in the information theory community as a soft-decision iterative decoding algorithm. It is the most powerful algorithm found so far for attacking hard optimization problems in channel decoding. Quantum mechanics is the foundation
Results 1 - 10 of 35,009