Paper
30 December 1999 The ExSpect-Matlab or AR (autoregressive) PSD (power spectral density) cyclicity calucations method for sediment times series, interfering key beds, and fossil soils
Elfi S.P. Van Overloop, Roland R. Paepe, Richard B. Hoover
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Abstract
The Method of Sediment and Soil Stratigraphic Geological Dating based on the Time-Stratigraphic Stability of the occurrence of fossil soils and interfering sediments in a given time series of the recent deposits on Earth (Pleistocene and Holocene), revealed in a first attempt the time record of geosoils and other events such as major gravel beds, for a number of Quaternary Sediments. Time Series such as eolian loess deposits of the loess plateau in China at Huangling and Jiacun localities at the eastern end, and of the loess plateau in Belgium at Waret-Grand Sart and Tongrinne-Le Docq borehole logs, at the western end of the Global Trans Eurasiatic loess belt served as a basis of the ExSpect-Matlab Cyclicity Calculation Method. It must be understood hereby that mathematical treatment of the deposits is not possible if the chosen parameters are not stratigraphically secured either by radiometric dating or by means of classical relative geological chronostratigraphic dating. The latter method offers indeed, the possibility of geological correlation and thus to cross check the level of significance of the stratigraphic position of e.g. fossil (geo-) soils found by computation.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elfi S.P. Van Overloop, Roland R. Paepe, and Richard B. Hoover "The ExSpect-Matlab or AR (autoregressive) PSD (power spectral density) cyclicity calucations method for sediment times series, interfering key beds, and fossil soils", Proc. SPIE 3755, Instruments, Methods, and Missions for Astrobiology II, (30 December 1999); https://doi.org/10.1117/12.375072
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KEYWORDS
Mars

Minerals

Astronomy

Autoregressive models

Climatology

Short wave infrared radiation

Signal processing

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