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The construction of Tanner graph for iterative PN sequence acquisition

IET International Communication Conference on Wireless Mobile & Computing (CCWMC 2009), 2009
This paper proposes an improved algorithm of PEG, CPEG (Constrained Progressive Edge Growth), for constructing tanner graphs to represent the constraints of PN sequence, which makes the iterative acquisition method applicable for general PN sequences. And simulation results show that the performance of iterative acquisition using CPEG graph is improved
null Yanchao Kang, null Kai Niu
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Binary representation of cycle Tanner-graph GF(2/sup b/) codes

2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577), 2004
We derive the average symbol and Hamming weight spectrum functions of the random ensemble of regular low-density parity-check (LDPC) codes over GF(2/sup b/) when used with the binary-input noisy channel. This work confirms theoretically that the near-Shannon-limit performance of Gallager's binary LDPC codes can be significantly enhanced by moving to ...
Xiao-Yu Hu, Evangelos Eleftheriou
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On Counting Short Cycles of LDPC Codes Using the Tanner Graph Spectrum

2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018
Counting short cycles in bipartite graphs is a fundamental problem of interest in the analysis and design of low-density parity-check (LDPC) codes. The vast majority of research in this area is focused on algorithmic techniques. Most recently, Blake and Lin proposed a computational technique to count the number of cycles of length g in a bi-regular ...
Ali Dehghan 0001, Amir H. Banihashemi
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Hardness of Approximation Results for the Problem of Finding the Stopping Distance in Tanner Graphs

2006
Tanner Graph representation of linear block codes is widely used by iterative decoding algorithms for recovering data transmitted across a noisy communication channel from errors and erasures introduced by the channel. The stopping distance of a Tanner graph T for a binary linear block code C determines the number of erasures correctable using ...
K. Murali Krishnan 0001   +1 more
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Adaptive Image Deblurring via Tanner Graph Representation and Belief Propagation

2011 Data Compression Conference, 2011
In this paper, we propose a deblurring framework based on a factor graph representation of the image and the image formation process. Each pixel is described by a variable node, while the statistical relation among pixels is formulated by two sets of check nodes, describing the local image structures and the image formation process, respectively ...
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Absorbing sets in the Tanner graphs of LDPC codes derived from geodetic graphs

2016
The error floor performance of an LDPC code is related with the existence of certain substructures of the corresponding Tanner graph. Substructures that are called trapping sets, and especially absorbing sets as their subclass, determine the iterative decoding performance and are important contributors to the error floor for AWGN channel.
Šimac, Marina   +2 more
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Unsourced Multiple Access Based on Sparse Tanner Graph—Efficient Decoding, Analysis, and Optimization

IEEE Journal on Selected Areas in Communications, 2022
Xiaodong Wang, Xiaodong Wang
exaly  

Tanner-Graph-Based Massive Multiple Access—Transmission and Decoding Schemes

IEEE Transactions on Wireless Communications, 2023
Jiaai Liu, Xiaodong Wang 0001
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