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updated 11 months ago

nanconvn by Benjamin Kraus

Convolution in ND ignoring NaNs and (optionally) correcting for edge effects. (conv, conv2, convn)

nanconvn(a, k, varargin)

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updated 3 years ago

Separate Kernel in 1D kernels by Dirk-Jan Kroon

Decompose an arbitrary N dimensional filtering kernel into 1D kernels, for faster filtering (image, 2d, 3d)

[K1 KN ERR]=SeparateKernel(H)

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updated 4 years ago

FFT-based convolution by Bruno Luong

Discrete convolution using FFT method (convolution, conv, conv2)

convnfft(A, B, shape, dims, options)


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updated almost 6 years ago

ndnanfilter.m by Carlos Adrian Vargas Aguilera

Filter/smoothing of multidimensional data with an specified window function, ignoring NaNs. (filter design, filter analysis, smooth)


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