Machine Learning for Signal Classification and Noise Reduction in Amateur Radio

Machine learning techniques are explored for signal classification and noise reduction in amateur radio, aiming to enhance communication reliability through automated processes. The author's main thesis revolves around the potential of machine learning to revolutionize signal processing in amateur radio operations.