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== External links == {{Wiktionary|convolution}} {{Commons category|Convolution}} * [https://jeff560.tripod.com/c.html Earliest Uses: The entry on Convolution has some historical information.] * [https://web.archive.org/web/20060221234856/https://rkb.home.cern.ch/rkb/AN16pp/node38.html#SECTION000380000000000000000 Convolution], on [https://web.archive.org/web/20060512020859/https://rkb.home.cern.ch/rkb/titleA.html The Data Analysis BriefBook] * https://jhu.edu/~signals/convolve/index.html Visual convolution Java Applet * https://jhu.edu/~signals/discreteconv2/index.html Visual convolution Java Applet for discrete-time functions * https://get-the-solution.net/projects/discret-convolution discret-convolution online calculator *https://lpsa.swarthmore.edu/Convolution/CI.html Convolution demo and visualization in JavaScript *https://phiresky.github.io/convolution-demo/ Another convolution demo in JavaScript * [[iarchive:Lectures on Image Processing|Lectures on Image Processing: A collection of 18 lectures in pdf format from Vanderbilt University. Lecture 7 is on 2-D convolution.]], by Alan Peters * https://archive.org/details/Lectures_on_Image_Processing * [https://micro.magnet.fsu.edu/primer/java/digitalimaging/processing/kernelmaskoperation/ Convolution Kernel Mask Operation Interactive tutorial] * [https://mathworld.wolfram.com/Convolution.html Convolution] at [[MathWorld]] * [https://nongnu.org/freeverb3/ Freeverb3 Impulse Response Processor]: Opensource zero latency impulse response processor with VST plugins * Stanford University CS 178 [https://graphics.stanford.edu/courses/cs178/applets/convolution.html interactive Flash demo] showing how spatial convolution works. * [https://youtube.com/watch?v=IW4Reburjpc A video lecture on the subject of convolution] given by [[Salman Khan (educator)|Salman Khan]] * [https://dspguide.com/ch24/6.htm Example of FFT convolution for pattern-recognition (image processing)] *[https://betterexplained.com/articles/intuitive-convolution/ Intuitive Guide to Convolution] A blogpost about an intuitive interpretation of convolution. {{Artificial intelligence navbox}} [[Category:Functional analysis]] [[Category:Image processing]] [[Category:Fourier analysis]] [[Category:Bilinear maps]] [[Category:Feature detection (computer vision)]]
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