eigenfun: Generate the Fourier series
In BayesBD: Bayesian Inference for Image Boundaries
Description
eigenfun(n, x) generates the first n fourier series, which are \{1/√{2*π}, 1/√{π}*cos(x), 1/√{π}*cos(x), ...\} evaluated at x.
Usage
1
eigenfun(n,x)
Arguments
n
The number of eigenfunctions used to approximate the boundary. It should be a odd number.
x
The argument at which the eigenfunctions are evaluated.
BayesBD documentation built on May 1, 2019, 10:17 p.m.
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Description
eigenfun(n, x) generates the first n fourier series, which are \{1/√{2*π}, 1/√{π}*cos(x), 1/√{π}*cos(x), ...\} evaluated at x.
Usage
1 | eigenfun(n,x)
|
Arguments
n |
The number of eigenfunctions used to approximate the boundary. It should be a odd number. |
x |
The argument at which the eigenfunctions are evaluated. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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