dorsal/arxiv
View SchemaTurbulence Time Series Data Hole Filling using Karhunen-Loeve and ARIMA methods
| Authors | M. P. J. L. Chang, H. Nazari, C. O. Font, G. C. Gilbreath, E Oh |
|---|---|
| Categories | |
| ArXiv ID | physics/0701238 |
| URL | https://arxiv.org/abs/physics/0701238 |
| DOI | 10.1088/1742-6596/85/1/012025 |
Abstract
Measurements of optical turbulence time series data using unattended instruments over long time intervals inevitably lead to data drop-outs or degraded signals. We present a comparison of methods using both Principal Component Analysis, which is also known as the Karhunen--Loeve decomposition, and ARIMA that seek to correct for these event-induced and mechanically-induced signal drop-outs and degradations. We report on the quality of the correction by examining the Intrinsic Mode Functions generated by Empirical Mode Decomposition. The data studied are optical turbulence parameter time series from a commercial long path length optical anemometer/scintillometer, measured over several hundred metres in outdoor environments.
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"abstract": "Measurements of optical turbulence time series data using unattended\ninstruments over long time intervals inevitably lead to data drop-outs or\ndegraded signals. We present a comparison of methods using both Principal\nComponent Analysis, which is also known as the Karhunen--Loeve decomposition,\nand ARIMA that seek to correct for these event-induced and mechanically-induced\nsignal drop-outs and degradations. We report on the quality of the correction\nby examining the Intrinsic Mode Functions generated by Empirical Mode\nDecomposition. The data studied are optical turbulence parameter time series\nfrom a commercial long path length optical anemometer/scintillometer, measured\nover several hundred metres in outdoor environments.",
"arxiv_id": "physics/0701238",
"authors": [
"M. P. J. L. Chang",
"H. Nazari",
"C. O. Font",
"G. C. Gilbreath",
"E Oh"
],
"categories": [
"physics.data-an",
"physics.optics"
],
"doi": "10.1088/1742-6596/85/1/012025",
"title": "Turbulence Time Series Data Hole Filling using Karhunen-Loeve and ARIMA methods",
"url": "https://arxiv.org/abs/physics/0701238"
},
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