Spectrum Sensing using Deep Learning

Provided a solution to spectrum sensing using deep learning, utilizing a CNN-based approach with spectrogram images.

Conducted comprehensive testing on self-made synthetic as well as real-life data to ensure accuracy and robustness.

Investigated GoogleNet-based transfer learning approach to further enhance the model’s performance and adaptability.