GaussSmoothKernel: Calculates a discrete Gaussian smoothing kernel.

In AnalyzeFMRI: Functions for Analysis of fMRI Datasets Stored in the ANALYZE or NIFTI Format

Description

Calculates a simple, discrete Gaussian smoothing kernel of a specfic size given the covariance matrix of the Gaussian.

Usage

GaussSmoothKernel(voxdim=c(1, 1, 1), ksize=5, sigma=diag(3, 3))

Arguments

voxdim	Dimensions of each voxel.
ksize	Dimensions of the discrete kernel size.
sigma	The covariance matrix of the Gaussian kernel.

Value

An array of dimension (ksize,ksize,ksize) containing the smoothing kernel.

Author(s)

J. L. Marchini

Examples

a <- GaussSmoothKernel(voxdim=c(1,1,1), ksize=5, sigma=diag(1,3))

AnalyzeFMRI documentation built on Oct. 5, 2021, 5:06 p.m.