interpolate.fft

numeric data vector to be interpolated

numeric data vector with reference points

xout

There are two ways to interpolate data from a given spectrum.
Frist, one can do zero padding to cover <code>n</code> new data points. Or, secound
the complex amplitude with the associated frequency is taken and evaluated
at given points <code>xout</code>. Doing that for all frequencies and amplitudes
will give the interpolation. The result is compared to linear approximation
for didactic reasons.

On discrete data spectral analysis is performed by Fourier and Hilbert
transforms as well as with model based analysis called Lomb-Scargle method.
Fragmented and irregularly spaced data can be processed in almost all methods. Both,
FFT as well as LOMB methods take multivariate data and return standardized PSD.
For didactic reasons an analytical approach for deconvolution of noise spectra and
sampling function is provided.
A user friendly interface helps to interpret the results.

interpolate.fft: interpolates data using the Fourier back transform

Description

Usage

Arguments

Value