Matches in SemOpenAlex for { <https://semopenalex.org/work/W2779895865> ?p ?o ?g. }
- W2779895865 endingPage "1046" @default.
- W2779895865 startingPage "1031" @default.
- W2779895865 abstract "Abstract Many real‐life signals and, in particular, in the space physics domain, exhibit variations across different temporal scales. Hence, their statistical momenta may depend on the time scale at which the signal is studied. To identify and quantify such variations, a time‐frequency analysis has to be performed on these signals. The dependence of the statistical properties of a signal fluctuation on the space and time scales is the distinctive character of systems with nonlinear couplings among different modes. Hence, assessing how the statistics of signal fluctuations vary with scale will be of help in understanding the corresponding multiscale statistics of such dynamics. This paper presents a new multiscale data analysis technique, the adaptive local iterative filtering (ALIF), which allows to describe the multiscale nature of the geophysical signal studied better than via Fourier transform, and improves scale resolution with respect to discrete wavelet transform. The example of geophysical signal, to which ALIF has been applied, is ionospheric radio power scintillation on L band. ALIF appears to be a promising technique to study the small‐scale structures of radio scintillation due to ionospheric turbulence." @default.
- W2779895865 created "2018-01-05" @default.
- W2779895865 creator A5027492988 @default.
- W2779895865 creator A5055386211 @default.
- W2779895865 creator A5071010878 @default.
- W2779895865 creator A5080788724 @default.
- W2779895865 creator A5087957635 @default.
- W2779895865 creator A5089184945 @default.
- W2779895865 date "2018-01-01" @default.
- W2779895865 modified "2023-10-14" @default.
- W2779895865 title "Adaptive Local Iterative Filtering: A Promising Technique for the Analysis of Nonstationary Signals" @default.
- W2779895865 cites W138934459 @default.
- W2779895865 cites W1508558635 @default.
- W2779895865 cites W1541877075 @default.
- W2779895865 cites W1663092815 @default.
- W2779895865 cites W1805247019 @default.
- W2779895865 cites W1971509683 @default.
- W2779895865 cites W1978216446 @default.
- W2779895865 cites W1987659257 @default.
- W2779895865 cites W1991439955 @default.
- W2779895865 cites W1996021349 @default.
- W2779895865 cites W2007221293 @default.
- W2779895865 cites W2015198836 @default.
- W2779895865 cites W2016942624 @default.
- W2779895865 cites W2019900743 @default.
- W2779895865 cites W2024714333 @default.
- W2779895865 cites W2026002298 @default.
- W2779895865 cites W2031387003 @default.
- W2779895865 cites W2051421037 @default.
- W2779895865 cites W2055546781 @default.
- W2779895865 cites W2061441140 @default.
- W2779895865 cites W2063615912 @default.
- W2779895865 cites W2066817002 @default.
- W2779895865 cites W2069228220 @default.
- W2779895865 cites W2080233628 @default.
- W2779895865 cites W2085959206 @default.
- W2779895865 cites W2086859142 @default.
- W2779895865 cites W2088265095 @default.
- W2779895865 cites W2090218979 @default.
- W2779895865 cites W2098395403 @default.
- W2779895865 cites W2120390927 @default.
- W2779895865 cites W2125296584 @default.
- W2779895865 cites W2133182333 @default.
- W2779895865 cites W2160097539 @default.
- W2779895865 cites W2160724632 @default.
- W2779895865 cites W2161528515 @default.
- W2779895865 cites W2164242552 @default.
- W2779895865 cites W2165761444 @default.
- W2779895865 cites W2166361350 @default.
- W2779895865 cites W2290314833 @default.
- W2779895865 cites W2504528620 @default.
- W2779895865 cites W2518033141 @default.
- W2779895865 cites W2580725730 @default.
- W2779895865 cites W2962713415 @default.
- W2779895865 cites W2963396373 @default.
- W2779895865 cites W2995722939 @default.
- W2779895865 cites W3122991095 @default.
- W2779895865 cites W4234163572 @default.
- W2779895865 cites W4243066586 @default.
- W2779895865 cites W4245069116 @default.
- W2779895865 cites W611855095 @default.
- W2779895865 doi "https://doi.org/10.1002/2017ja024153" @default.
- W2779895865 hasPublicationYear "2018" @default.
- W2779895865 type Work @default.
- W2779895865 sameAs 2779895865 @default.
- W2779895865 citedByCount "42" @default.
- W2779895865 countsByYear W27798958652018 @default.
- W2779895865 countsByYear W27798958652019 @default.
- W2779895865 countsByYear W27798958652020 @default.
- W2779895865 countsByYear W27798958652021 @default.
- W2779895865 countsByYear W27798958652022 @default.
- W2779895865 countsByYear W27798958652023 @default.
- W2779895865 crossrefType "journal-article" @default.
- W2779895865 hasAuthorship W2779895865A5027492988 @default.
- W2779895865 hasAuthorship W2779895865A5055386211 @default.
- W2779895865 hasAuthorship W2779895865A5071010878 @default.
- W2779895865 hasAuthorship W2779895865A5080788724 @default.
- W2779895865 hasAuthorship W2779895865A5087957635 @default.
- W2779895865 hasAuthorship W2779895865A5089184945 @default.
- W2779895865 hasBestOaLocation W27798958651 @default.
- W2779895865 hasConcept C102519508 @default.
- W2779895865 hasConcept C102637530 @default.
- W2779895865 hasConcept C104267543 @default.
- W2779895865 hasConcept C11413529 @default.
- W2779895865 hasConcept C120665830 @default.
- W2779895865 hasConcept C121332964 @default.
- W2779895865 hasConcept C121864883 @default.
- W2779895865 hasConcept C134306372 @default.
- W2779895865 hasConcept C154945302 @default.
- W2779895865 hasConcept C19118579 @default.
- W2779895865 hasConcept C196216189 @default.
- W2779895865 hasConcept C199360897 @default.
- W2779895865 hasConcept C2778755073 @default.
- W2779895865 hasConcept C2779843651 @default.
- W2779895865 hasConcept C33923547 @default.
- W2779895865 hasConcept C41008148 @default.
- W2779895865 hasConcept C46286280 @default.
- W2779895865 hasConcept C47432892 @default.