interpolates data using the Fourier back transform

Description

There are two way to interpolate data from a given spectrum. Frist, one can do zero padding to cover n new data points. Or, secound the complex amplitude with the associated frequency is taken and evaluated at given points xout. Doing that for all frequencies and amplitudes will give the interpolation.

Usage

1
interpolate.fft(y, x = NULL, n = NULL, xout = NULL)

Arguments

y

numeric data vector to be interpolated

x

numeric data vector with reference points

n

number of new points

xout

a vector new points

Value

A list with a x and y component is returned. The e99 value evaluates the error of the interpolation with respect to linear approximation with the approx() function.


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.