directional.spectrum: Computes directional, radially averaged spectral density of a...

In shoebodh/radialpsd: Calculates Radially Averaged Power Spectrum (periodograms) of a 2D matrix

Description

Computes directional, radially averaged spectral density of a matrix Used the base::fft() function to get fourier coefficients of the input matrix

Usage

directional.spectrum(x, alpha, offset = 10, res = 1, Log = TRUE,
  normalized = FALSE, correct.mean = FALSE, pad.values = NaN,
  plot = TRUE, ...)

Arguments

x	a matrix
alpha	the angle at which the rspectrum is calculated (0 - 90)
offset	offset to (alpha + - offset is be used to calculate teh rspectrum)
res	resolution of the image represented by the matrix)
Log	Logical, whether the fft(x) values should be log-transformed, default = TRUE
normalized	Logical, whetther the fft (x) values should be normalized, default = FALSE
correct.mean	Logical, whether the input x should be subject to mean correction, default = FALSE
pad.values	In case x is not a square, the values to apply to the new cells added in the periphery, default is NaN
plot	Logical, whether the respectrum output should be ploted, default = TRUE

Examples

data(patches2)
directional.spectrum(x = patches2, alpha = 90, offset = 10, Log = T)

shoebodh/radialpsd documentation built on May 29, 2019, 9:26 p.m.