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Classification and Processing of Communication Signals through Deep Learning

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dc.contributor.author Athar, Yaseen
dc.date.accessioned 2024-06-07T10:04:03Z
dc.date.available 2024-06-07T10:04:03Z
dc.date.issued 2024
dc.identifier.other 330327
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/43907
dc.description Supervisor: Dr.Ahmad Salman en_US
dc.description.abstract The field of Artificial Intelligence has found applications in many different fields ranging from Robotics, Computer Vision to Bio-Medical Imaging and even Communication Sys tems. In recent years, the use of deep learning algorithms has exploded into virtually all areas of scientific research. As in other fields, Deep Learning is now being utilized in Radar and Communication systems to handle the challenges confronted at the lower or physical layers of the system which was previously handled by traditional signal process ing algorithms. The goal of this study is to create Deep Learning models which will be used for classification of different modulation schemes under realistic signal scenarios. en_US
dc.language.iso en en_US
dc.publisher School of Electrical Engineering & Computer Science (SEECS), NUST en_US
dc.title Classification and Processing of Communication Signals through Deep Learning en_US
dc.type Thesis en_US


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