kern {coloredICA}

R Documentation

Kernel evaluation

Description

This function returns a vector of length n with the evaluation of an exponential Kernel at a point x0 \in R^2 for the n Fourier frequencies.

Usage

kern(x0, h, freq)

Arguments

x0	Point \in R^2 at which the Kernel is evaluated.
h	Kernel bandwidth.
freq	n \times 2 matrix with the n Fourier frequencies, where n is the number of points in the analyzed lattice.

Details

This function returns a vector of length n with the evaluation of an exponential Kernel at a point x0 \in R^2 for the n Fourier frequencies. In particular the k-th vector element is

e^{-\frac{(\boldsymbol{\omega}_k - x_0)^T(\boldsymbol{\omega}_k - x_0)}{h^2}}.

Value

It returns a list containing the following component:

v	vector containing the n exponential Kernel evaluations.

Note

It is auxiliary for locmulti, grad and hess functions.

Author(s)

Lee, S., Shen, H., Truong, Y. and Zanini, P.

See Also

scICA, locmulti, grad, hess.

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