1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/545990
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dc.coverage.spatialHybrid deep learning models for an effective spectrum sensing techniques in cognitive radio under different snr condition
dc.date.accessioned2024-02-19T11:31:09Z-
dc.date.available2024-02-19T11:31:09Z-
dc.identifier.urihttp://hdl.handle.net/10603/545990-
dc.format.extentxvii,126p.
dc.languageEnglish
dc.relationp.109-125
dc.rightsuniversity
dc.titleHybrid deep learning models for an effective spectrum sensing techniques in cognitive radio under different snr condition
dc.title.alternative
dc.creator.researcherPriyeshkumar, A T
dc.subject.keywordcognitive radio
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordsnr condition
dc.subject.keywordspectrum sensing techniques
dc.description.note
dc.contributor.guidePonniyin selvan, V
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File152.4 kBAdobe PDFView/Open
02_prelim pages.pdf2.74 MBAdobe PDFView/Open
03_content.pdf123.55 kBAdobe PDFView/Open
04_abstract.pdf112.23 kBAdobe PDFView/Open
05_chapter 1.pdf639.63 kBAdobe PDFView/Open
06_chapter 2.pdf478.92 kBAdobe PDFView/Open
07_chapter 3.pdf562.36 kBAdobe PDFView/Open
08_chapter 4.pdf547.26 kBAdobe PDFView/Open
09_annexures.pdf590.3 kBAdobe PDFView/Open
80_recommendation.pdf205.9 kBAdobe PDFView/Open
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