transforms
Convolution — definition and algebraic properties
taught
Taught in
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Recalling 1D convolution from Fourier Analysis
Digital Image Processing
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The convolution integral, defined
Fourier Analysis
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The sliding-overlap geometric picture
Fourier Analysis
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Commutativity, associativity, and distributivity
Fourier Analysis
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Convolution as "blurring" or "smoothing," intuitively
Fourier Analysis
Requires
Required by
- 2D discrete convolution and correlation required
- The Fourier convolution theorem required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.