scholarly journals High‐resolution analysis of tomato leaf elongation: the application of novel time‐series analysis techniques

2001 ◽  
Vol 52 (362) ◽  
pp. 1925-1932 ◽  
Author(s):  
Laura E. Price ◽  
Mark A. Bacon ◽  
Peter C. Young ◽  
William J. Davies
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Time Series Analysis ◽  
Tomato Leaf ◽  
Leaf Elongation ◽  
Analysis Techniques ◽  
Series Analysis ◽  
High Resolution Analysis ◽  
Resolution Analysis

scholarly journals Applications of time series analysis in geosciences: an overview of methods and sample applications

2013 ◽  
Vol 10 (10) ◽  
pp. 12793-12827 ◽  
Author(s):  
W. Gossel ◽  
R. Laehne
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Time Series Analysis ◽  
Spatial Data ◽  
Data Sets ◽  
New Methods ◽  
Series Analysis ◽  
High Resolution Analysis ◽  
Resolution Analysis ◽  
New Research

Abstract. Time series analysis methods are compared based on four geoscientific datasets. New methods such as wavelet analysis, STFT and period scanning bridge the gap between high resolution analysis of periodicities and non-equidistant data sets. The sample studies include not only time series but also spatial data. The application of variograms as an addition to or instead of autocorrelation opens new research possibilities for storage parameters.

Lunar and solar magnetic variations at Abinger: their detection and estimation by spectral anaylsis via Fourier transforms

1970 ◽  
Vol 268 (1187) ◽  
pp. 233-263 ◽  
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Fourier Transforms ◽  
Solar Rotation ◽  
Amplitude Spectrum ◽  
Discrete Fourier Transforms ◽  
Detection And Estimation ◽  
High Resolution Analysis ◽  
High Resolution Power ◽  
Resolution Analysis

The geomagnetic field measured at any point on Earth as a function of time shows periodic variations due to atmospheric processes. A method of time series analysis based on discrete Fourier transforms is developed for the detection and estimation of lines in the frequency spectrum; the method gives estimates, with error limits, of the amplitudes of sinusoidal variations in the data, and these estimates are unbiased by noise. The method is used to determine the lunar and solar variations present in Abinger declination records, data for a period of 17 years (1927—56) being used. The coherence between Abinger data and time series that model the lunar and solar input functions to the atmosphere aids the identification of lines in the Abinger spectrum. The amplitude spectrum of magnetic declination at Abinger shows prominent solar peaks at 1, 2, 3, 4 cycles per day (c/d), and lunar peaks at 0.0703, 1.932, and 2.932 c/d. Sidebands of the solar diurnal peak at 1 ± 0.037 c/d are attributed to a solar rotation mechanism, and this is supported by a high resolution power spectrum that shows the width of these sidebands. The high resolution analysis also shows annual and semi-annual splitting of the solar diurnal and semi-diurnal lines, and of the lunar semi-diurnal line.

scholarly journals Modelling and (adaptive) control of greenhouse climates.

1984 ◽  
Vol 32 (2) ◽  
pp. 137-139 ◽  
Author(s):  
A.J. Udink ten Cate
Keyword(s):  
Time Series ◽  
Adaptive Control ◽  
Time Series Analysis ◽  
Temperature Control ◽  
Control Process ◽  
Climate Control ◽  
Analysis Techniques ◽  
Series Analysis ◽  
Novel Approach ◽  
New Algorithms

After a discussion on control of greenhouse climates, new algorithms for temperature control are presented and tested in practice. A novel approach of modelling of the climate control process is presented by using time-series analysis techniques. (Abstract retrieved from CAB Abstracts by CABI’s permission)

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