MATLAB Time-Frequency Analysis Toolbox

Professor Cheng Lei from Wuhan University of Technology has uploaded a highly practical MATLAB time-frequency analysis toolbox that enables researchers to perform more detailed and in-depth time-frequency analysis, facilitating better investigation and resolution of practical problems. This toolbox provides researchers with more convenient and efficient tools, further promoting the development of academic research. Notably, the development of this toolbox spanned several years and incorporates knowledge and techniques from multiple disciplines, capable of meeting time-frequency analysis requirements across different fields while providing additional research insights and methodologies for future studies. The toolbox likely includes implementations of fundamental time-frequency analysis algorithms such as Short-Time Fourier Transform (STFT) with customizable window functions, wavelet transform implementations for multi-resolution analysis, and possibly advanced methods like Wigner-Ville distribution or empirical mode decomposition (EMD). Researchers can leverage these pre-implemented functions to efficiently process non-stationary signals, analyze time-varying frequency components, and visualize results through integrated plotting functionalities.