Fast Fourier Transform

The Fast Fourier Transform (FFT) is an algorithm that efficiently breaks down a complex signal into its basic building blocks, called frequencies. Think of it like taking a musical chord and identifying each note played. This process helps us analyze, process, or compress signals such as audio, images, or data. By converting data from the time domain (how it changes over time) to the frequency domain (what frequencies make it up), FFT allows us to understand and work with the underlying patterns, making tasks like filtering, noise reduction, or data compression faster and more effective.