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- Least-squares_spectral_analysis abstract "Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum, based on a least squares fit of sinusoids to data samples, similar to Fourier analysis. Fourier analysis, the most used spectral method in science, generally boosts long-periodic noise in long gapped records; LSSA mitigates such problems.LSSA is also known as the Vaníček method after Petr Vaníček, and as the Lomb method (or the Lomb periodogram) and the Lomb–Scargle method (or Lomb–Scargle periodogram), based on the contributions of Nicholas R. Lomb and, independently, Jeffrey D. Scargle. Closely related methods have been developed by Michael Korenberg and by Scott Chen and David Donoho.".
- Least-squares_spectral_analysis wikiPageExternalLink lssa.
- Least-squares_spectral_analysis wikiPageID "13609399".
- Least-squares_spectral_analysis wikiPageRevisionID "599238579".
- Least-squares_spectral_analysis hasPhotoCollection Least-squares_spectral_analysis.
- Least-squares_spectral_analysis subject Category:Digital_signal_processing.
- Least-squares_spectral_analysis subject Category:Frequency_domain_analysis.
- Least-squares_spectral_analysis comment "Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum, based on a least squares fit of sinusoids to data samples, similar to Fourier analysis.".
- Least-squares_spectral_analysis label "Least-squares spectral analysis".
- Least-squares_spectral_analysis sameAs m.03cbrw2.
- Least-squares_spectral_analysis sameAs Q10569022.
- Least-squares_spectral_analysis sameAs Q10569022.
- Least-squares_spectral_analysis wasDerivedFrom Least-squares_spectral_analysis?oldid=599238579.
- Least-squares_spectral_analysis isPrimaryTopicOf Least-squares_spectral_analysis.