MATLAB Simulation of Short-Time Fourier Transform with Multi-Parameter Analysis

This MATLAB simulation program demonstrates the implementation and analysis of Short-Time Fourier Transform (STFT), a fundamental signal processing technique for time-frequency analysis. The program incorporates multiple window functions (such as Hamming, Hanning, and rectangular windows) with configurable window lengths to examine their effects on time-frequency spectral characteristics. Key implementation aspects include spectral computation using MATLAB's spectrogram function, customizable window parameter adjustments, and visualization of time-frequency distributions. The algorithm processes input signals by applying sliding windows with specified overlap ratios, computing Fourier transforms for each segmented frame to generate comprehensive spectrograms. This flexible implementation allows researchers to investigate how different window types (affecting spectral leakage) and window lengths (balancing time-frequency resolution) impact signal analysis outcomes. The code structure supports easy modification of parameters for customized experimentation and optimization based on specific research requirements in time-frequency signal processing applications.