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nnt
Purpose
This function calculates the Nearest Neighbor Transform (NNT) of a point process X under the Palm distribution.
Synopsis
R = nnt(X, P)
R = nnt(X, P, N)
R = nnt(X, P, N, dR)
[R, r] = nnt(X, ...)
[R, r, A] = nnt(X, P, N, dR)
[R, r, A] = nnt(X, P, N, dR, Na)
[R, r, A, a]=nnt(X, ...)
Description
R = nnt(X, P) calculates the radial distribution of points in X, type uint8, relative to points in P, type uint8, and returns the data in matrix R where each row i corresponds to the ith ordered point.
R = nnt(X, P, N) calculates R up to the Nth order point. (default=20)
R = nnt(X, P, N, dR) seperates points in bins of radail width dR. (default=1)
[R, r] = nnt(X, P, N, dR) returns the vector r use the minimum radius of points in corresponding columns of R.
[R, r, A] = nnt(X, P, N, dR) returns the angular distribution of points in the matrix A.
[R, r, A] = nnt(X, P, N, dR, Na) returns the angular distribution of points in the matrix A into Na angular bins. (default=72)
[R, r, A, a]=nnt(X, ...) returns the vector a as the minimum radius of points in the corresponding columns of A.
See Also
nearest_neighbor, rsmm
Reference
[1] D. Stoyan, W. S. Kendall, and J. Mecke, Stochastic Geometry and Its Applications, Wiley Series in Probability and Mathematical Statistics, John Wiley and Sons, New York, 1987.
Author
Daniel Leo Lau, Copyright July 25, 1997.
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Dr. Daniel Leo Lau
314 Evans Hall, University of Delaware
Newark, DE 19716, USA
(302) 831-4299
lau@ece.udel.edu
last edited on 11/9/99
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