Automatic Modulation Classification: A Deep Architecture Survey
Version 2 2024-06-05, 11:53Version 2 2024-06-05, 11:53
Version 1 2021-11-04, 11:27Version 1 2021-11-04, 11:27
journal contribution
posted on 2024-06-05, 11:53 authored by T Huynh-The, QV Pham, TV Nguyen, TT Nguyen, R Ruby, M Zeng, DS KimAutomatic Modulation Classification: A Deep Architecture Survey
History
Journal
IEEE AccessVolume
9Pagination
142950-142971Location
Piscataway, N.J.Open access
- Yes
Link to full text
ISSN
2169-3536eISSN
2169-3536Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringModulationFeature extractionWireless communicationTask analysisRecurrent neural networksReceiversInterferenceAutomatic modulation classificationconvolutional neural networksdeep learning architecturesdeep neural networksrecurrent neural networkswireless communicationsCONVOLUTIONAL NEURAL-NETWORKWAVE-FORM RECOGNITIONMODEL COMPRESSIONCNNOFDMFUSIONIDENTIFICATIONACCELERATIONAUGMENTATIONALGORITHM4006 Communications engineering
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