Implementing STFT with Rectangular Window

When implementing the Short-Time Fourier Transform (STFT), we can utilize rectangular windows to segment signals into distinct time intervals, enabling the capture of their frequency characteristics. To transition between different portions of the signal, we employ loop statements to systematically shift these windows along the time axis. This approach allows us to observe the temporal evolution of the signal's spectral properties. The implementation typically involves defining a fixed window length, calculating the Fourier transform for each windowed segment, and advancing the window by a specified hop size using a for-loop or while-loop structure. Key parameters include window size (determining time-frequency resolution trade-off) and hop size (controlling overlap between consecutive windows). By adopting this methodology, we can conduct comprehensive signal analysis and extract detailed information about its time-varying features through successive spectral computations.