FFT2FS_3D: Three dimensional Fourier Series

In FPCA3D: Three Dimensional Functional Component Analysis

Description

Calculate the three dimensional Fourier series coeffiients of the input three dimensional array.

Usage

FFT2FS_3D(A)

Arguments

A	A three dimensional numerical data array. For example, A can be the data array of an three dimensional image.

Details

Calcualte the three dimensional numerical data array. The input A array can be any three dimensional data array. For image input data, the input should be data array only without any header information.

Value

A three dimensional Fourier series coefficients array of the input A data array.

References

Lin N, Jiang J, Guo S, Xiong M. Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis. PLOS ONE. 2015;10(7):e0132945.

Examples

test_data = array(runif(1000,0,1),dim = c(10,10,10))
rlt = FFT2FS_3D(test_data)

FPCA3D documentation built on May 2, 2019, 4:17 a.m.