Time-Frequency Analysis Toolbox Implementation in MATLAB

This article presents a highly valuable toolbox for time-frequency analysis in MATLAB. The toolbox incorporates multiple signal type implementations including amplitude modulation (AM) signals using hilbert() function for envelope extraction, frequency modulation (FM) signals with instantaneous frequency calculation via diff(unwrap(angle(hilbert(signal)))), phase-coded signals employing phase shift keying algorithms, and step signals with edge detection methods. These implementations enable sophisticated signal analysis and research, facilitating better understanding and processing of diverse signal types. The toolbox supports various time-frequency analysis techniques such as spectrogram computation using spectrogram() function, wavelet transforms with cwt() function, and Wigner-Ville distribution implementations. Both academic research and engineering applications can benefit from this toolbox's comprehensive signal processing capabilities and algorithm implementations.