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Kernel smoothing M.C. Jones, M.P. Wand
Publisher: Chapman & Hall

This is useful for two density estimation and firing rate estimation. So the automatic selection of the smoothing parameter doesn't work in this case. The typical kernel is a uniform or a Gaussian kernel. For each pixel in the image, you center the array over that pixel. You have a two-d array and have a gaussian kernel, how can you smooth the data ? Typically smoothing is a process of convolving a kernel with the image at each pixel location. Greetings, The image on the left appears to have been created with Point Density, and the image on the right with Kernel Density. Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. Is there a function which does two dimensional kernel smoothing? Now, it's time to find out how gaussian_kde actually selects the smoothing parameter or bandwith of the kernel. In one kind of image filter, you have an array of values called the filter's kernel.