Azmine, Muhammad Farhan2024-05-212024-05-212024-04-10https://hdl.handle.net/10919/119039In 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.ETDapplication/pdfenCreative Commons Attribution-NoDerivatives 4.0 InternationalField Programmable Gate ArrayHardware acceleratorOn-Chip learningArtificial intelligenceRecurrent Neural NetworkSpike-Time-Dependent-PlasticityCognitive-Radio-NetworkSpectrum SensingAn advanced neuromorphic accelerator on FPGA for next-G spectrum sensingThesis