MATLAB-Based Time-Frequency Analysis with Code Implementation

This resource provides MATLAB code implementations for time-frequency analysis, designed to enhance your understanding of the analysis process. Time-frequency analysis represents a crucial signal processing technique that reveals both frequency content and time-domain characteristics of signals. MATLAB offers multiple approaches for time-frequency analysis, including Fourier Transform methods, Wavelet Transform, and Hilbert-Huang Transform (HHT). Our code examples comprehensively cover these techniques with detailed explanations and extensive commenting to demonstrate their practical implementation. The code showcases key MATLAB functions such as spectrogram() for short-time Fourier transform, cwt() for continuous wavelet analysis, and empirical mode decomposition for HHT processing. Additionally, we provide real-world signal processing cases that apply these time-frequency methods to actual data, helping you understand their practical applications in signal characterization, fault detection, and non-stationary signal analysis. Each example includes algorithm explanations and parameter optimization guidance for effective implementation.