The fast Fourier transform (FFT) is an efficient algorithm for computing the discrete Fourier transform (DFT) and its inverse. It breaks down a signal into its constituent frequencies, making it easier to analyze frequency content. This technique is crucial for various applications in signal processing, including noise control, as it allows for rapid frequency analysis and the breakdown of complex signals into manageable parts.
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