Complete Time-Frequency Analysis Code for Signal Processing

This collection presents MATLAB implementations of complete time-frequency analysis methods for signal processing. Time-frequency analysis represents a powerful signal processing technique that examines signal characteristics across both time and frequency domains simultaneously. These implementations help researchers understand temporal and spectral properties of signals along with their intricate relationships. The codebase includes various time-frequency analysis algorithms such as Short-Time Fourier Transform (STFT), wavelet transforms, and Wigner-Ville distribution, each implemented with proper windowing functions and parameter optimization. Key functions feature configurable parameters for window size, overlap percentage, and frequency resolution, allowing users to adapt the analysis to specific signal characteristics. Through these MATLAB scripts, users can perform detailed and comprehensive signal analysis, enabling extraction of valuable information about signal behavior patterns, transient events, and frequency content evolution over time. The implementations include visualization routines that generate spectrograms and time-frequency representations using MATLAB's plotting capabilities, facilitating intuitive interpretation of analysis results.