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An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing

In modern communication systems, it’s important to detect and use available radio frequencies effectively. However, current methods face challenges with complexity and noise interference. We’ve developed a new approach using advanced artificial intelligence (AI) based computing techniques to improve efficiency and accuracy in this process. Our method shows promising results, requiring only minimal additional resources in exchange of improved performance compared to older techniques. / Master of Science / In modern communication systems, it’s important to detect and use available radio frequencies effectively. However, current methods face challenges with complexity and noise interference. We’ve developed a new approach using advanced artificial intelligence (AI) based computing techniques to improve efficiency and accuracy in this process. Our method shows promising results, requiring only minimal additional resources in exchange of improved performance compared to older techniques.

Identiferoai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/119039
Date10 April 2024
CreatorsAzmine, Muhammad Farhan
ContributorsElectrical and Computer Engineering, Yi, Yang, Ha, Dong, Jones, Creed F. III
PublisherVirginia Tech
Source SetsVirginia Tech Theses and Dissertation
LanguageEnglish
Detected LanguageEnglish
TypeThesis
FormatETD, application/pdf, application/pdf
RightsCreative Commons Attribution-NoDerivatives 4.0 International, http://creativecommons.org/licenses/by-nd/4.0/

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