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
fDate :
7/1/2012 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2011.2177062
