GaussSmoothKernel: Calculates a discrete Gaussian smoothing kernel (adopted from...

In NeuroStat/neuRosim: Functions to Generate fMRI Data Including Activated Data, Noise Data and Resting State Data

Description

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

Usage

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

Arguments

voxdim	The dimensions of each voxel.
ksize	The size (in voxels) of the kernel with which to filter the independent field.
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

See Also

Sim.3D.GRF

Examples

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

NeuroStat/neuRosim documentation built on Sept. 14, 2019, 10:37 a.m.