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MinSum Algorithm
, 2016
"... All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
st Paths Using the MinSum Algorithm
"... Abstract — Solving the distributed shortest path problem has important applications in the theory of distributed systems, most notably routing. In this paper, we provide and prove the convergence of a minsum algorithm to compute the shortest path between two nodes in a graph with positive edge weig ..."
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Cited by 4 (1 self)
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Abstract — Solving the distributed shortest path problem has important applications in the theory of distributed systems, most notably routing. In this paper, we provide and prove the convergence of a minsum algorithm to compute the shortest path between two nodes in a graph with positive edge
SingleScan MinSum Algorithms for Fast Decoding of LDPC Codes
, 2006
"... Abstract — Many implementations for decoding LDPC codes are based on the (normalized/offset) minsum algorithm due to its satisfactory performance and simplicity in operations. Usually, each iteration of the minsum algorithm contains two scans, the horizontal scan and the vertical scan. This paper ..."
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Abstract — Many implementations for decoding LDPC codes are based on the (normalized/offset) minsum algorithm due to its satisfactory performance and simplicity in operations. Usually, each iteration of the minsum algorithm contains two scans, the horizontal scan and the vertical scan. This paper
Convergence of the MinSum Algorithm for Convex Optimization,” preprint
, 2007
"... We establish that the minsum messagepassing algorithm and its asynchronous variants converge for a large class of unconstrained convex optimization problems. 1 ..."
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Cited by 15 (4 self)
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We establish that the minsum messagepassing algorithm and its asynchronous variants converge for a large class of unconstrained convex optimization problems. 1
Deriving the Normalized MinSum Algorithm from Cooperative Optimization
, 2006
"... Abstract — The normalized minsum algorithm can achieve nearoptimal performance at decoding LDPC codes. However, it is a critical question to understand the mathematical principle underlying the algorithm. Traditionally, people thought that the normalized minsum algorithm is a good approximation t ..."
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Abstract — The normalized minsum algorithm can achieve nearoptimal performance at decoding LDPC codes. However, it is a critical question to understand the mathematical principle underlying the algorithm. Traditionally, people thought that the normalized minsum algorithm is a good approximation
Fast MinSum Algorithms for Decoding of LDPC over GF(q
 School of Information Science and Technology, Tsinghua
, 2006
"... Abstract — In this paper, we present a fast minsum algorithm for decoding LDPC codes over GF(q). Our algorithm is different from the one presented by David Declercq and Marc Fossorier in [1] only at the way of speeding up the horizontal scan in the minsum algorithm. The Declercq and Fossorier’s al ..."
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Cited by 2 (0 self)
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Abstract — In this paper, we present a fast minsum algorithm for decoding LDPC codes over GF(q). Our algorithm is different from the one presented by David Declercq and Marc Fossorier in [1] only at the way of speeding up the horizontal scan in the minsum algorithm. The Declercq and Fossorier’s
MinSum Algorithm with Maximum Average Mutual Information Quantization
"... The specific methods of the maximum average mutual information quantization are analyzed and deduced. With this method to quantify the initial message, the variable messages and check messages are converted into integers. Then the minsum decoding algorithm based on integer arithmetic is implemented ..."
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The specific methods of the maximum average mutual information quantization are analyzed and deduced. With this method to quantify the initial message, the variable messages and check messages are converted into integers. Then the minsum decoding algorithm based on integer arithmetic
On the Relationship between Linear Programming Decoding and MinSum Algorithm Decoding
, 2004
"... We are interested in the characterization of the decision regions when decoding a lowdensity paritycheck code with the minsum algorithm. Observations made in [1] and experimental evidence suggest that these decision regions are tightly related to the decision regions obtained when decoding the co ..."
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Cited by 35 (8 self)
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We are interested in the characterization of the decision regions when decoding a lowdensity paritycheck code with the minsum algorithm. Observations made in [1] and experimental evidence suggest that these decision regions are tightly related to the decision regions obtained when decoding
Low Complexity Implementation of LDPC Decoder using MINSum Algorithm
"... This paper presents a resource efficient LDPC decoder architecture. The algorithm used for decoding LDPC is the minsum algorithm. The decoder reduces the interconnect complexity by restricting the extrinsic message length to 2 bits and also simplifies the check node operation. The algorithm is sim ..."
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This paper presents a resource efficient LDPC decoder architecture. The algorithm used for decoding LDPC is the minsum algorithm. The decoder reduces the interconnect complexity by restricting the extrinsic message length to 2 bits and also simplifies the check node operation. The algorithm
An Efficient Nonbinary LDPC decoder using simplified minsum algorithm
"... Abstract A novel technology is used to design and implement the Nonbinary iterative codes are robust to different channel losses. However, based on the existing EMS decoding algorithms, the decoder design and implementations are very expensive because of their excessive computational density and m ..."
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and memory usage. Based on the Simplified MinSum algorithm (SMSA), we present a proposed method for the check node processing. The simulation results demonstrate and analysis the bit error rate (BER), block error rate (BLER) over the signal to noise ratio (SNR) in the channel. The proposed system design
Results 1  10
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