Please use this identifier to cite or link to this item: https://libjncir.jncasr.ac.in/xmlui/handle/10572/175
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dc.contributor.authorRao, Anoop V-
dc.contributor.authorSharma, Vijay Kumar-
dc.date.accessioned2012-01-13T10:17:08Z-
dc.date.available2012-01-13T10:17:08Z-
dc.date.issued2002-12-
dc.identifier0929-1016en_US
dc.identifier.citationBiological Rhythm Research 33(5), 487-502 (2002)en_US
dc.identifier.urihttps://libjncir.jncasr.ac.in/xmlui/10572/175-
dc.descriptionRestricted Accessen_US
dc.description.abstractWe have described a simple approach for the analysis and isolation of multiple periodicities from a biological time series. For the estimation of the periodicities, we used simulated data and data from ongoing experiments in our laboratory. Two time series were simulated, one which consisted of only white noise and the other consisted white noise along with periodicities of 6, 11, 17 and 23 h, to demonstrate that our method can successfully isolate multiple patterns in a time series. Our method of analysis is objective, simple, flexible and adaptive since it distinctly delineates the individual contribution from an overlap of multiple periodicities. The key features of our method are: (i) identification of a reliable phase reference point, (ii) scanning the time series using a moving window in increments, (iii) use of Siegel's modification of Fisher's method to detect significant periodicit(y)ies in the time series. The use of window sizes of increasing length to examine the time series elegantly reduces noise while identifying periodicities that are otherwise not apparent. Finally, the periodogram can be smoothed in order to normalize the contribution by attendant frequency components within the waveform. A minimum critical value for relative contribution of various frequencies was calculated to delineate the periodicities that contributed significantly to the time series. We executed this method of time series analysis using MS Excel and Cen_US
dc.description.urihttp://dx.doi.org/10.1076/brhm.33.5.487.13933en_US
dc.language.isoenen_US
dc.publisherSwets & Zeitlingeren_US
dc.rights© 2002 Swets & Zeitlingeren_US
dc.subjecttime seriesen_US
dc.subjectFisher's testen_US
dc.subjectperiodogramen_US
dc.subjectcritical pointsen_US
dc.subjectCIrcadian-Rhythmsen_US
dc.subjectDrosophila-Melanogasteren_US
dc.subjectAperiodic Environmenten_US
dc.subjectMathematical-Modelen_US
dc.subjectLocomotor-Activityen_US
dc.subjectSpaced Dataen_US
dc.subjectBehavioren_US
dc.subjectOscillatorsen_US
dc.subjectPeriodogramen_US
dc.subjectPersistenceen_US
dc.titleA Simple Approach for the Computation of Multiple Periodicities in Biological Time Seriesen_US
dc.typeArticleen_US
Appears in Collections:Research Articles (V. K. Sharma)

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