spectral
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling linux/jammy R-4.5 | spectral_2.0.tar.gz |
155.1 KiB |
2.0 |
rolling linux/noble R-4.5 | spectral_2.0.tar.gz |
155.0 KiB |
2.0 |
rolling source/ R- | spectral_2.0.tar.gz |
48.7 KiB |
2.0 |
latest linux/jammy R-4.5 | spectral_2.0.tar.gz |
155.1 KiB |
2.0 |
latest linux/noble R-4.5 | spectral_2.0.tar.gz |
155.0 KiB |
2.0 |
latest source/ R- | spectral_2.0.tar.gz |
48.7 KiB |
2.0 |
2026-04-26 source/ R- | spectral_2.0.tar.gz |
48.7 KiB |
2.0 |
2026-04-23 source/ R- | spectral_2.0.tar.gz |
48.7 KiB |
2.0 |
2026-04-09 windows/windows R-4.5 | spectral_2.0.zip |
158.0 KiB |
2.0 |
2025-04-20 source/ R- | spectral_2.0.tar.gz |
48.7 KiB |