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Linear and circular convolution are fundamentally different operations. However, there are conditions under which linear and circular convolution are equivalent. Establishing this equivalence has important implications. For two vectors, x and y, the circular convolution is equal to the inverse discrete Fourier transform (DFT) of the product of the vectors' DFTs. Knowing the conditions under which linear and circular convolution are equivalent allows you to use the DFT to efficiently compute linear convolutions.
Cite As
Pranish (2026). LINEAR AND CIRCULAR CONVOLUTION (https://uk.mathworks.com/matlabcentral/fileexchange/164861-linear-and-circular-convolution), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: MATLAB Goto Statement
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- Version 1.0.0 (20.7 KB)
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| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
