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In this hands-on tutorial series, we explore how to use Matlab implementation of time-frequency analysis tools (see below for the download link), including short-time Fourier transform (STFT) and synchrosqueezing transform (SST) by demonstrating its implementation in MATLAB. This lecture is designed for hands-on researchers, engineers, and students who need to apply time-frequency analysis techniques to analyze their nonstationary time series data, particularly those with complicated oscillatory patterns. In this first lecture, We will cover (1) how to simulate a semi-real complicated oscillatory signal, (2) call the SST function, and generate a time-frequency representation using short-time Fourier transform (STFT_, SST and concentration of Frequency and Time (ConceFT). In the next lecture, we will continue with ridge extraction and reconstruction, decomposition and denoising for further data analysis missions. After that, we will delve into real data analysis and discuss advanced applications of SST. The Matlab code can be downloaded here: https://www.dropbox.com/scl/fi/hojrx0...