The 'kernel' for smoothing, defines the shape of the function that is used to take the average of the neighboring points. A Gaussian kernel is a kernel with ... ... <看更多>

I think it should be done in the following steps, first from the signal processing point of view: Gaussian Filter is a low pass filter. ... <看更多>

Gaussian Smoothing with PDL. GitHub Gist: instantly share code, notes, ... my $smoothed = $data->convolveND($kernel);. plot(. -orig => ds::Pair(. $x, $data,. ... <看更多>

One way to think of gaussian processes is a kernel density estimation with a fixed-finite number of kernels not fixed at the data. In this interpretation ... ... <看更多>