Referenced Items are not available for this document.
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.
Published in:
Geoscience and Remote Sensing Letters, IEEE
(Volume:9
,
Issue:
4
)
Date of Publication: July 2012
- Page(s):
- 624 - 628
- ISSN :
- 1545-598X
- INSPEC Accession Number:
- 12712335
- Digital Object Identifier :
- 10.1109/LGRS.2011.2177062
- Date of Publication :
- 30 December 2011
- Date of Current Version :
- 07 May 2012
- Issue Date :
- July 2012
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
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