FFT and Applications: Experimental Report with MATLAB Implementation

This experimental report focuses on FFT (Fast Fourier Transform) and its practical applications. We conducted comprehensive simulations using MATLAB, complete with graphical visualizations and accompanying code implementations. The report provides detailed explanations of FFT principles and their applications, along with demonstrated simulation results. Through MATLAB's built-in functions like fft() and fftshift(), we implemented spectral analysis algorithms that efficiently compute discrete Fourier transforms. The code includes proper signal preprocessing, windowing techniques, and frequency domain visualization using plot() and stem() functions. By studying this report, you will gain understanding of FFT's fundamental concepts and practical usage, enabling you to master related skills through hands-on simulation practice. The implementation showcases how to analyze signal frequency components, perform spectrum analysis, and interpret FFT results using appropriate MATLAB programming techniques.