MATLAB Time-Frequency Analysis Toolbox

In this document, I would like to introduce MATLAB's Time-Frequency Analysis Toolbox. This powerful toolkit enables detailed analysis of time-frequency characteristics in various signals, including audio, video, and other signal types. The toolbox implements essential algorithms such as Short-Time Fourier Transform (STFT) using the spectrogram function, wavelet transforms through cwt and dwt functions, and Wigner-Ville distribution for high-resolution analysis. These methods allow users to visualize frequency components evolving over time using commands like imagesc(t,f,abs(stft_matrix)) for heatmap displays. By understanding signal behavior through time-frequency representations, researchers can establish accurate foundations for subsequent processing applications. The toolbox also supports custom parameter tuning through function options like window size overlap adjustment in stft implementations. This comprehensive resource aims to provide substantial assistance and enhancement for signal processing workflows.