Description Usage Arguments Value
Generate a realization of the Toy Noise 1 before smoothing.
1 2 | ToyNoise1Presmooth(n = 1, Ns = 64, model = list(), theta = 0.1,
l1 = 1, l2 = 4, tau = 12)
|
n |
The number of realizations to produce. |
Ns |
Number of pixels of the result in one direction. The resulting picture will have Ns x Ns pixels. |
model |
The correlation structure of the noise, as used by arima.sim. Default is list() which gives i.i.d. noise. |
theta |
Bandwidth of kernel used to smooth the noise. |
l1, l2 |
Pixel size of the noise blocks in either side of the domain. See main reference for details. |
tau |
Scaling factor with which noise is multiplied after generation. |
A list containing x and y, the coordinates of the grid and z and array of dimensions c(64,64,n) giving n reallizations of the Toy Noise 1 before smoothing.
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