The Fast Fourier Transform (FFT) is an efficient algorithm used to compute the Fourier Transform, which converts a signal from its original domain (often time or space) into the frequency domain. This transformation helps analyze the frequency components of signals, making it easier to process and understand complex data. FFT significantly reduces the computation time compared to the standard Discrete Fourier Transform (DFT), especially for large datasets. By breaking down the DFT into smaller, manageable parts, FFT allows for quicker calculations, making it widely used in fields like signal processing, image analysis, and data compression.