Short-Time Fourier Transform (STFT) Source Code Implementation

This resource provides complete source code for Short-Time Fourier Transform (STFT) implementation, specifically designed for time-frequency joint characterization of non-stationary signals. The code is immediately compatible with MATLAB environments and requires no extraction password. STFT represents a fundamental signal processing technique that enables comprehensive analysis of both temporal and spectral characteristics simultaneously. The implementation typically involves windowing the signal into short segments and applying Fourier transform to each segment, creating a spectrogram that visualizes frequency content evolution over time. Key algorithmic components include: - Sliding window mechanism with adjustable length and overlap - Window function selection (Hamming, Hanning, etc.) for spectral leakage reduction - Complex-valued output providing magnitude and phase information - Efficient matrix operations for rapid computation This method finds extensive applications across multiple domains including audio signal processing, image analysis, communication systems, and vibration monitoring. By employing STFT, researchers can extract detailed time-varying frequency information crucial for signal characterization and feature extraction. The provided code offers a practical foundation for implementing advanced time-frequency analysis in various engineering applications. We hope this implementation proves valuable for your signal processing projects!