Computation of Wigner-Ville Distribution, Pseudo Wigner-Ville Distribution, and Smoothed Pseudo Wigner-Ville Distribution

This program serves as a computational tool for time-frequency analysis of signals. It implements algorithms to calculate three advanced time-frequency representations: the Wigner-Ville Distribution (WVD), Pseudo Wigner-Ville Distribution (PWVD), and Smoothed Pseudo Wigner-Ville Distribution (SPWVD). The core implementation uses MATLAB's signal processing functions to compute the instantaneous auto-correlation and apply appropriate windowing and smoothing operations in both time and frequency domains. To utilize this program effectively, you need to download and install MATLAB's Time-Frequency Analysis Toolbox, which provides essential functions for proper computation and visualization. Time-frequency analysis is a signal processing methodology that reveals how signal components evolve over time across different frequency bands. This analytical approach is particularly valuable for understanding signal characteristics and properties, making it widely applicable in various signal processing domains. By employing this program, you can gain deeper insights into your signals and extract more meaningful information through sophisticated time-frequency representations that handle cross-term interference and resolution trade-offs.