Description Usage Arguments Value Author(s) See Also Examples
View source: R/temporalnoise.R
Generates an autoregressive noise dataset with specified dimensions and standard deviation.
1 | 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
systemnoise
, lowfreqdrift
, physnoise
, tasknoise
, spatialnoise
1 2 3 4 5 |
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