FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3099367214> ?p ?o ?g. }

• W3099367214 endingPage "2050019" @default.
• W3099367214 startingPage "2050019" @default.
• W3099367214 abstract "In many processes, the variations in underlying characteristics can be approximated by noisy multi-periodic patterns. If large-scale patterns are superimposed by a noise with long-range correlations, the detection of multi-periodic patterns becomes especially challenging. To solve this problem, we developed a discrete double Fourier transform (DDFT). DDFT is based on the equidistance property of harmonics generated by multi-periodic patterns in the discrete Fourier transform (DFT) spectra. As the large-scale patterns generate long enough equidistant series, they can be detected by the iteration of the primary DFT. DDFT is defined as Fourier transform of intensity spectral harmonics or of their functions. It comprises widely used cepstrum transform as a particular case. We present also the relevant analytical criteria for the assessment of the statistical significance of peak harmonics in DDFT spectra in the presence of noise. DDFT technique was tested by extensive numerical simulations. The practical applications of the DDFT technique are illustrated by the analysis of variations in solar wind speed related to solar rotation and by the study of large-scale multi-periodic patterns in DNA sequences. The latter application can be considered as a generic example for the general spectral analysis of symbolic sequences. The results are compared with those obtained by the cepstrum transform. The mutual combination of DFT and DDFT provides an efficient technique to search for noisy large-scale multi-periodic patterns." @default.
• W3099367214 created "2020-11-23" @default.
• W3099367214 creator A5029427335 @default.
• W3099367214 creator A5046020771 @default.
• W3099367214 date "2019-11-20" @default.
• W3099367214 modified "2023-10-18" @default.
• W3099367214 title "Detection of Large-Scale Noisy Multi-Periodic Patterns with Discrete Double Fourier Transform" @default.
• W3099367214 cites W1490944650 @default.
• W3099367214 cites W1519382937 @default.
• W3099367214 cites W1764874473 @default.
• W3099367214 cites W1992905402 @default.
• W3099367214 cites W2002330609 @default.
• W3099367214 cites W2007541715 @default.
• W3099367214 cites W2033235734 @default.
• W3099367214 cites W2034371575 @default.
• W3099367214 cites W2038228012 @default.
• W3099367214 cites W2042686872 @default.
• W3099367214 cites W2046562189 @default.
• W3099367214 cites W2048514812 @default.
• W3099367214 cites W2049815058 @default.
• W3099367214 cites W2061274002 @default.
• W3099367214 cites W2064727535 @default.
• W3099367214 cites W2070078169 @default.
• W3099367214 cites W2070509435 @default.
• W3099367214 cites W2074598019 @default.
• W3099367214 cites W2082137964 @default.
• W3099367214 cites W2084126963 @default.
• W3099367214 cites W2085350879 @default.
• W3099367214 cites W2090572797 @default.
• W3099367214 cites W2101683321 @default.
• W3099367214 cites W2133285942 @default.
• W3099367214 cites W2167856604 @default.
• W3099367214 cites W2257612787 @default.
• W3099367214 cites W2294098428 @default.
• W3099367214 cites W2336392079 @default.
• W3099367214 cites W2403526834 @default.
• W3099367214 cites W2481367449 @default.
• W3099367214 cites W2485109005 @default.
• W3099367214 cites W2563365999 @default.
• W3099367214 cites W2614634492 @default.
• W3099367214 cites W2623382435 @default.
• W3099367214 cites W2766610471 @default.
• W3099367214 cites W2949444372 @default.
• W3099367214 cites W2963127563 @default.
• W3099367214 cites W4206252072 @default.
• W3099367214 cites W4211145224 @default.
• W3099367214 cites W4213062769 @default.
• W3099367214 cites W4239894305 @default.
• W3099367214 cites W4245554758 @default.
• W3099367214 cites W4251884961 @default.
• W3099367214 cites W4293517843 @default.
• W3099367214 cites W4297959322 @default.
• W3099367214 cites W4298352105 @default.
• W3099367214 cites W602683443 @default.
• W3099367214 cites W625744427 @default.
• W3099367214 cites W3102425731 @default.
• W3099367214 doi "https://doi.org/10.1142/s0219477520500194" @default.
• W3099367214 hasPublicationYear "2019" @default.
• W3099367214 type Work @default.
• W3099367214 sameAs 3099367214 @default.
• W3099367214 citedByCount "5" @default.
• W3099367214 countsByYear W30993672142020 @default.
• W3099367214 countsByYear W30993672142021 @default.
• W3099367214 countsByYear W30993672142022 @default.
• W3099367214 crossrefType "journal-article" @default.
• W3099367214 hasAuthorship W3099367214A5029427335 @default.
• W3099367214 hasAuthorship W3099367214A5046020771 @default.
• W3099367214 hasBestOaLocation W30993672142 @default.
• W3099367214 hasConcept C102519508 @default.
• W3099367214 hasConcept C11413529 @default.
• W3099367214 hasConcept C115961682 @default.
• W3099367214 hasConcept C121332964 @default.
• W3099367214 hasConcept C121864883 @default.
• W3099367214 hasConcept C134306372 @default.
• W3099367214 hasConcept C154945302 @default.
• W3099367214 hasConcept C165801399 @default.
• W3099367214 hasConcept C166386157 @default.
• W3099367214 hasConcept C188414643 @default.
• W3099367214 hasConcept C203024314 @default.
• W3099367214 hasConcept C2778755073 @default.
• W3099367214 hasConcept C33923547 @default.
• W3099367214 hasConcept C3768446 @default.
• W3099367214 hasConcept C41008148 @default.
• W3099367214 hasConcept C57733114 @default.
• W3099367214 hasConcept C62520636 @default.
• W3099367214 hasConcept C88485024 @default.
• W3099367214 hasConcept C99498987 @default.
• W3099367214 hasConceptScore W3099367214C102519508 @default.
• W3099367214 hasConceptScore W3099367214C11413529 @default.
• W3099367214 hasConceptScore W3099367214C115961682 @default.
• W3099367214 hasConceptScore W3099367214C121332964 @default.
• W3099367214 hasConceptScore W3099367214C121864883 @default.
• W3099367214 hasConceptScore W3099367214C134306372 @default.
• W3099367214 hasConceptScore W3099367214C154945302 @default.
• W3099367214 hasConceptScore W3099367214C165801399 @default.
• W3099367214 hasConceptScore W3099367214C166386157 @default.
• W3099367214 hasConceptScore W3099367214C188414643 @default.
• W3099367214 hasConceptScore W3099367214C203024314 @default.

• next