Results 41 to 50 of about 1,239,425 (219)

Performance analysis on joint channel decoding and state estimation in cyber-physical systems

open access: yesEURASIP Journal on Wireless Communications and Networking, 2017
We propose to use an mean square error (MSE) transfer chart to evaluate the performance of the proposed belief propagation (BP)-based channel decoding and state estimation scheme.
Liang Li   +3 more
doaj   +1 more source

Fault-tolerant quaternary belief propagation decoding based on a neural network

open access: yesFrontiers in Physics, 2023
The article discusses the challenge of finding an efficient decoder for quantum error correction codes for fault-tolerant experiments in quantum computing.
Naihua Ji   +5 more
doaj   +1 more source

Parallel Implementation of GPU-Based LDPC Enhanced Quasi-Maximum Likelihood Decoder [PDF]

open access: yesJisuanji gongcheng, 2020
The Enhanced Quasi-Maximum Likelihood(EQML) decoder has better decoding performance for short Low Density Parity Check(LDPC) codes than traditional Belief Propagation(BP) decoder,and can meet the high reliability requirements of 5G mobile communication ...
KONG Feiyue, JIANG Xueqin, WAN Xuefen, CHEN Sijing, CUI Jian, YANG Yi
doaj   +1 more source

Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation [PDF]

open access: yesInternational Symposium on Information Theory, 2019
We consider the weighted belief-propagation (WBP) decoder recently proposed by Nachmani et al. where different weights are introduced for each Tanner graph edge and optimized using machine learning techniques.
Meng-Ke Lian   +3 more
semanticscholar   +1 more source

A Recurrent Neural Network Based BP Decoding Algorithm for Polar Codes [PDF]

open access: yesJisuanji gongcheng, 2022
Belief Propagation(BP) is one of the most commonly used soft decision decoding algorithms for polar codes, which enables parallel transport and displays high throughput.However, BP suffers from slow convergence and high computational complexity.To ...
HE Yanqi, PENG Daqin, ZHAO Xuezhi
doaj   +1 more source

Molecular Polar Belief Propagation Decoder and Successive Cancellation Decoder [PDF]

open access: yes2019 IEEE International Workshop on Signal Processing Systems (SiPS), 2019
By constructing chemical reaction networks (CRNs), this paper proposes a method of synthesizing polar decoder using belief propagation (BP) algorithm and successive cancellation (SC) algorithm, respectively. Theoretical analysis and simulation results have validated the feasibility of the method. Reactions in the proposed design could be experimentally
Zhiwei Zhong   +4 more
openaire   +3 more sources

Generalized Joint Shuffled Scheduling Decoding Algorithm for the JSCC System Based on Protograph-LDPC Codes

open access: yesIEEE Access, 2021
The joint shuffled scheduling decoding (JSSD) algorithm can reduce the decoding complexity of the joint source-channel coding system (JSCC) based on double protograph low-density parity-check (P-LDPC) codes. However, the JSSD algorithm will not work when
Zhiping Xu   +3 more
doaj   +1 more source

Learned Decimation for Neural Belief Propagation Decoders

open access: yesCoRR, 2020
We introduce a two-stage decimation process to improve the performance of neural belief propagation (NBP), recently introduced by Nachmani et al., for short low-density parity-check (LDPC) codes. In the first stage, we build a list by iterating between a conventional NBP decoder and guessing the least reliable bit.
Andreas Buchberger   +4 more
openaire   +2 more sources

Optimization of graph based codes for belief propagation decoding [PDF]

open access: yes2014 IEEE Information Theory Workshop (ITW 2014), 2014
A low-density parity-check (LDPC) code is a linear block code described by a sparse parity-check matrix, which can be efficiently represented by a bipartite Tanner graph. The standard iterative decoding algorithm, known as belief propagation, passes messages along the edges of this Tanner graph.
Sachini Jayasooriya   +3 more
openaire   +2 more sources

Improved Recurrent Neural Network based BP Decoding Algorithm for Polar Codes

open access: yesGuangtongxin yanjiu, 2022
In recent years, the emerging Deep Learning (DL) technology has made progress in the field of decoding. Current polar code neural network decoder has faster convergence speed and better Bit Error Rate (BER) performance than Belief Propagation (BP ...
Xue-lu DENG, Da-qin PENG
doaj   +3 more sources

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