Fast convolution, replacement for both conv2 and convn. See conv2 or convn for more information on convolution in general. This works as a replacement for both conv2 and convn. Basically, performs convolution in either the frequency or spatial domain, depending on which it thinks will be faster (see below). In general, if A is much bigger then B then spatial convolution will be faster, but if B is of similar size to A and both are fairly big (such as in the case of correlation), convolution as multiplication in the frequency domain will tend to be faster. The shape flag can take on 1 additional value which is 'smooth'. This flag is intended for use with smoothing kernels. The returned matrix C is the same size as A with boundary effects handled in a special manner. That is instead of A being zero padded before being convolved with B; near the boundaries a cropped version of the matrix B is used, and the results is scaled by the fraction of the weight found in the cropped version of B. In this case each dimension of B must be odd, and all elements of B must be positive. There are other restrictions on when this flag can be used, and in general it is only useful for smoothing kernels. For 2D filtering it does not have much overhead, for 3D it has more and for higher dimensions much much more. For optimal performance some timing constants must be set to choose between doing convolution in the spatial and frequency domains, for more info see timeConv below. USAGE C = convnFast( A, B, [shape] ) INPUTS A - d dimensional input matrix B - d dimensional matrix to convolve with A shape - ['full'] 'valid', 'full', 'same', or 'smooth' OUTPUTS C - result of convolution EXAMPLE See also CONV2, CONVN Piotr's Computer Vision Matlab Toolbox Version 2.61 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]