Common Methods of Spectral Data Analysis

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.


Reference manual

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2.0 by Martin Seilmayer, 7 months ago

Browse source code at

Authors: Martin Seilmayer

Documentation:   PDF Manual  

Task views: Time Series Analysis

GPL-2 license

Depends on rasterImage, lattice, RhpcBLASctl, pbapply

Imported by oreo.

See at CRAN