DocumentCode
1412271
Title
Application of Temporal Gap Filling to Natural Power Law Spectrums
Author
Rigling, Brian D.
Author_Institution
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Volume
9
Issue
4
fYear
2012
fDate
7/1/2012 12:00:00 AM
Firstpage
624
Lastpage
628
Abstract
Power law spectrums are frequently used to model complex natural processes. Estimation of power law behavior can be severely hampered by temporal gaps in measured data, which can occur frequently for data sets spanning many years. The author presents an algorithm for iterative gap filling through the use of an autoregressive model. This technique is validated with a simulation study, and its benefits are demonstrated through application to measured data sets.
Keywords
autoregressive processes; environmental monitoring (geophysics); extrapolation; geophysical signal processing; geophysical techniques; iterative methods; autoregressive model; complex natural process; data sets; iterative gap filling; natural power law spectra; temporal gap filling; temporal gaps; Atmospheric measurements; Data models; Discrete Fourier transforms; Estimation; Linear regression; Spectral analysis; Time series analysis; Autoregressive (AR); gap filling; power law spectrum;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2011.2177062
Filename
6119194
Link To Document