Circular convolution is a mathematical operation that combines two periodic signals to produce a third periodic signal, maintaining the properties of both inputs. In contrast to linear convolution, circular convolution wraps around the edges of the input signals, which is particularly useful in the context of discrete signal processing and Fourier analysis. It allows for efficient computations in the frequency domain using the Fast Fourier Transform (FFT).
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