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Special Issue on Advance in Digital Signal, Image and Video Processing.

Authors :
Falkowski-Gilski, Przemysław
Uhl, Tadeus
Łubniewski, Zbigniew
Source :
Applied Sciences (2076-3417); Jul2023, Vol. 13 Issue 13, p7642, 2p
Publication Year :
2023

Abstract

In this work [[7]], authors improved the throughput estimation using prediction produced by LSTM artificial neural networks (ANNs). It is assumed that high performance and quality, especially in the case of signal transmission, will lead to great acceptance and usability. In order to improve the bit error performance while maintaining low decoding steps, the authors of [[2]] introduce a neural network subcode that can achieve optimal decoding performance and combine it with the traditional fast successive-cancellation (SC) decoding algorithm. [Extracted from the article]

Details

Language :
English
ISSN :
20763417
Volume :
13
Issue :
13
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
164921366
Full Text :
https://doi.org/10.3390/app13137642