MATLAB Implementation of a Novel Time-Frequency Analysis Method

This repository provides MATLAB source code implementing a novel time-frequency analysis method. Time-frequency analysis represents a fundamental signal processing technique that examines signals simultaneously in both time and frequency domains, enabling comprehensive characterization of signal features and variations. The implemented algorithm employs wavelet decomposition and reconstruction techniques to generate detailed time-frequency representations. Key implementation features include customizable decomposition levels, wavelet basis selection, and adjustable threshold parameters for signal reconstruction. The code structure consists of three main modules: signal preprocessing (handling normalization and windowing), multi-level wavelet decomposition using MATLAB's wavelet toolbox functions, and time-frequency image generation through inverse transformation. This implementation offers researchers an alternative approach for time-frequency analysis while providing practical insights into algorithm implementation methodologies. Users can modify parameters such as wavelet type (Daubechies, Symlets, etc.), decomposition depth, and reconstruction criteria to adapt the analysis to specific signal characteristics.