R Graphical Manual

Last data update: 2014.03.03

R: Generate temporally correlated noise

temporalnoise

R Documentation

Generate temporally correlated noise

Generates an autoregressive noise dataset with specified dimensions and standard deviation.

temporalnoise(dim, nscan, sigma, rho = 0.2, template, verbose = TRUE)

`dim`	A vector specifying the dimensions of a 2D or 3D array.
`nscan`	The number of scans in the dataset.
`sigma`	The standard deviation of the noise.
`rho`	The autocorrelation coefficients. The length of the vector determines the order of the autoregressive model.
`template`	An array representing the anatomical structure or mask with dimensions equal to dim.
`verbose`	Logical indicating if warnings should be printed.

An array containing the noise with dimensions specified in dim.

J. Durnez, B. Moerkerke, M. Welvaert

d <- c(10,10,10)
sigma <- 5
nscan <- 100
rho <- c(0.3,-0.7)
out <- temporalnoise(d, nscan, sigma, rho, verbose=FALSE)