Time-varying spectral analysis: theory and applications View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

D. M. Nachane

ABSTRACT

Non-stationary time series are a frequently observed phenomenon in several applied fields, particularly physics, engineering and economics. The conventional way of analysing such series has been via stationarity inducing filters. This can interfere with the intrinsic features of the series and induce distortions in the spectrum. To avert this possibility, it might be a better alternative to proceed directly with the series via the so-called time-varying spectrum. This article outlines the circumstances under which such an approach is possible, drawing attention to the practical applicability of these methods. Several methods are discussed and their relative advantages and drawbacks delineated. More... »

PAGES

3-27

References to SciGraph publications

Journal

TITLE

Indian Economic Review

ISSUE

1-2

VOLUME

53

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s41775-018-0030-2

DOI

http://dx.doi.org/10.1007/s41775-018-0030-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110639215


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