Results 1 to 10 of about 26,847 (118)

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

open access: yesИзвестия 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   +1 more
doaj   +1 more source

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

Shared Graph Neural Network for Channel Decoding

open access: yesApplied 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   +5 more
doaj   +1 more source

Bidirectional stack decoding of polar codes [PDF]

open access: yesVojnotehnički 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   +2 more
doaj   +1 more source

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

open access: yesНаучно-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

open access: yesApplied 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   +4 more
doaj   +1 more source

Deep Learning Algorithms in EEG Signal Decoding Application: A Review

open access: yesIEEE 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   +7 more
doaj   +1 more source

Logarithmic time encoding and decoding of integer error control codes

open access: yesEngineering Reports, 2023
One of the most important characteristics of all error control codes (ECCs) is the complexity of the encoding/decoding algorithms. Today, there are many ECCs that can correct multiple bit errors, but at the price of high encoding/decoding complexity ...
Aleksandar Radonjic, Vladimir Vujicic
doaj   +1 more source

Multi-Filter Decoding in WiFi Backscatter Communication

open access: yesSensors, 2021
WiFi backscatter communication has emerged as a promising enabler of ultralow-power connectivity for Internet of things, wireless sensor network and smart energy.
Richard Boateng Nti, Ji-Hoon Yun
doaj   +1 more source

A Hypergraph Filtering Based Iterative Decoding Approach for Linear Channel Codes

open access: yesIEEE Access, 2021
Efficient decoding for general linear channel codes has been a long standing problem. Message passing type algorithms can achieve near-optimal performance for channel codes with sparse check matrices and long code-lengths, but they may suffer from ...
Jiaqi He   +4 more
doaj   +1 more source

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