Artificial neural network-based sparse channel estimation for V2V communication systems
Artificial neural network-based sparse channel estimation for V2V communication systems
About this item
Full title
Author / Creator
Publisher
Bratislava: Sciendo
Journal title
Language
English
Formats
Publication information
Publisher
Bratislava: Sciendo
Subjects
More information
Scope and Contents
Contents
Artificial neural networks (ANNs) have gained a lot of attention from researchers in the past few years and have been employed on a large scale. They have also been gaining momentum in wireless communication systems. For efficient vehicle-to-vehicle (V2V) channel communication, a sparse multipath channel issue must be studied. To minimize the multi...
Alternative Titles
Full title
Artificial neural network-based sparse channel estimation for V2V communication systems
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_3090958102
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3090958102
Other Identifiers
ISSN
1339-309X,1335-3632
E-ISSN
1339-309X
DOI
10.2478/jee-2024-0035
