Abstract: Spectrograms provide an effective way for time-frequency representation (TFR). Among these, short-time Fourier transform (STFT) based spectrograms are extensively used for various ...

A MATLAB-based analytical system for epileptic EEG signal analysis using Short-Time Fourier Transform (STFT) and spectrogram visualization. This project implements spectrogram generation from scratch ...

This study investigates the classification of Major Depressive Disorder (MDD) using electroencephalography (EEG) Short-Time Fourier-Transform (STFT) spectrograms and audio Mel-spectrogram data of 52 ...

This project presents an end-to-end bearing fault diagnosis and predictive maintenance pipeline using vibration signal analysis and deep learning. The system processes raw bearing vibration signals, ...

Abstract: Radio modulation classification is significant in wireless communication. Conventional methods require expert knowledge for feature designing which is difficult to adapt to the complex ...