Results 1 to 10 of about 1,331 (215)

Decoding algorithms for surface codes [PDF]

Quantum
Quantum technologies have the potential to solve certain computationally hard problems with polynomial or super-polynomial speedups when compared to classical methods.
Antonio deMarti iOlius, Patricio Fuentes, Román Orús, Pedro M. Crespo, Josu Etxezarreta Martinez   +4 more
doaj   +4 more sources

List-Decoding Algorithms for Lifted Codes [PDF]

IEEE Transactions on Information Theory, 2016
15 pages, no figures.
Alan Guo, Swastik Kopparty
exaly   +3 more sources

An Improved $A^{\ast}$ Decoding Algorithm With List Decoding

IEEE Access, 2018
Comparing with hard decision decoding algorithms, soft decoding has a lower probability of bit error but a higher computational complexity. As a maximum-likelihood soft decoding method, the A* algorithm is the most basic and widely used to minimize bit ...
Bin Xu, Chenhao Ying, Yuan Luo
doaj   +2 more sources

Decoding algorithms for Goppa codes with errors and erasures [PDF]

Известия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2022
In 1978, McEliece built the first public key cryptosystem based on error-correcting codes. This cryptosystem based on Goppa codes is considered promising and cryptographically stable, taking into account quantum computing.
Ratseev, Sergey Mihailovich, Cherevatenko, Olga I.   +1 more
doaj   +1 more source

Bidirectional stack decoding of polar codes [PDF]

Vojnotehnički Glasnik, 2021
Introduction/purpose: The paper introduces a reduced latency stack decoding algorithm of polar codes, inspired by the bidirectional stack decoding of convolutional codes and based on the folding technique.
Aleksandar Đ. Minja, Dušan P. Dobromirov, Vojin I. Šenk   +2 more
doaj   +1 more source

Iterative Hard-Decision Decoding Algorithms for Binary Reed-Muller Codes

IEEE Access, 2022
In this paper, novel hard-decision iterative decoding algorithms for binary Reed-Muller (RM) codes are presented. First, two algorithms are devised based on the majority-logic decoding algorithm with reliability measures of the received sequence. The bit-
Yong-Ting Ni, Duc Nhat Nguyen, Feng-Kai Liao, Tzu-Chieh Kao, Chao-Yu Chen   +4 more
doaj   +1 more source

Shared Graph Neural Network for Channel Decoding

Applied Sciences, 2023
With the application of graph neural network (GNN) in the communication physical layer, GNN-based channel decoding algorithms have become a research hotspot.
Qingle Wu, Benjamin K. Ng, Chan-Tong Lam, Xiangyu Cen, Yuanhui Liang, Yan Ma   +5 more
doaj   +1 more source

EFFECTIVE IMPLEMENTATION OF MODERN MCELIECE CRYPTOSYSTEM ON GENERALIZED (L, G)-CODES [PDF]

Научно-технический вестник информационных технологий, механики и оптики, 2020
Subject of Research. The paper presents the study of methods and approaches to implementation of the modern McEliece cryptosystem based on separable generalized (L, G)-codes. Method.
Ivan K. Noskov, Sergey V. Bezzateev
doaj   +1 more source

Application of Tensor Decomposition to Reduce the Complexity of Neural Min-Sum Channel Decoding Algorithm

Applied Sciences, 2023
Channel neural decoding is very promising as it outperforms the traditional channel decoding algorithms. Unfortunately, it still faces the disadvantage of high computational complexity and storage complexity compared with the traditional decoding ...
Qingle Wu, Benjamin K. Ng, Yuanhui Liang, Chan-Tong Lam, Yan Ma   +4 more
doaj   +1 more source

Deep Learning Algorithms in EEG Signal Decoding Application: A Review

IEEE Access, 2021
In recent years, deep learning algorithms have been developed rapidly, and they are becoming a powerful tool in biomedical engineering. Especially, there has been an increasing focus on the use of deep learning algorithms for decoding physiological or ...
Ramesh Babu Vallabhaneni, Pankaj Sharma, Vinit Kumar, Vyom Kulshreshtha, Koya Jeevan Reddy, S. Selva Kumar, V. Sandeep Kumar, Surendra Kumar Bitra   +7 more
doaj   +1 more source