Simulation of Time-Frequency Distribution using Wigner-Ville

Resource Overview

Simulation of the Wigner-Ville time-frequency distribution, enabling analysis of signal characteristics by modifying signal parameters, with implementation examples using MATLAB's time-frequency analysis toolbox

Detailed Documentation

Simulation of the Wigner-Ville time-frequency distribution allows researchers to investigate signal time-frequency characteristics by varying signal frequency and amplitude parameters. This approach facilitates observation of function distribution patterns and interactions between different frequency components. The implementation typically involves generating test signals (such as linear chirp or multi-component signals) and applying the Wigner-Ville transform using algorithms that handle cross-term suppression. Furthermore, by adjusting signal phase parameters, one can explore signal coherence and phase characteristics through code that calculates instantaneous frequency and phase relationships. These simulation experiments provide deeper insights into signal behavior and characteristics, offering accurate references and analysis for signal processing and communication system design. The simulation code often includes visualization components using spectrogram plotting functions to display the time-frequency distribution matrix.