MATLAB-based FFT Transformation and Filtering Program
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This text presents a MATLAB program implementing Fast Fourier Transform (FFT) and filtering operations. The program performs frequency domain analysis and filtering processing on signals using MATLAB's built-in fft() function for efficient domain conversion. Through the FFT algorithm implementation, the program transforms time-domain signals into frequency-domain representations and applies digital filtering techniques using functions like filter() or fftfilt() to eliminate unwanted frequency components. This approach enables deeper investigation and analysis of signal characteristics through spectral examination. The program demonstrates practical implementation of windowing functions, frequency bin calculation, and inverse FFT (ifft) operations for signal reconstruction. Particularly useful for engineers and researchers in digital signal processing and communications fields, this implementation provides a convenient workflow for spectrum analysis, harmonic detection, and noise reduction applications with configurable filter parameters including cutoff frequencies and filter types (low-pass, high-pass, band-pass).
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