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Everything about Circular convolution

Mathematical operation

Circular convolution, also known as cyclic convolution, is a special case of periodic convolution, which is the convolution of two periodic functions that have the same period. Periodic convolution arises, for example, in the context of the discrete-time Fourier transform (DTFT). In particular, the DTFT of the product of two discrete sequences is the periodic convolution of the DTFTs of the individual sequences. And each DTFT is a periodic summation of a continuous Fourier transform function. Although DTFTs are usually continuous functions of frequency, the concepts of periodic and circular convolution are also directly applicable to discrete sequences of data. In that context, circular convolution plays an important role in maximizing the efficiency of a certain kind of common filtering operation. Wikipedia →

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  1. Read the overview: Circular convolutionA 5-minute orientation
  2. Skim a recent paper: A fast 3D gravity forward algorithm based on circular convolutionInfluential work since 2022
  3. Pick up a classic book: Mathematical Methods in the Physical SciencesThe most-reprinted book on the subject
  4. Read the landmark paper: On the free convolution with a semi-circular distributionCited 125 times
  5. Go sideways: Discrete-time Fourier transformA closely related topic
  6. Go sideways: Convolution theoremA closely related topic

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