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 |