Singular Spectrum Analysis
On the singular values decoupling in the Singular Spectrum Analysis of volcanic tremor at Stromboli
... Abstract. The well known strombolian activity at Strom- boli volcano is occasionally interrupted by rarer episodes of paroxysmal activity which can lead to considerable hazard for Stromboli inhabitants and tourists. On 5 ...
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Load forecasting using Singular Spectrum analysis
... called Singular Spectrum Analysis (SSA) is developed, this method does not use Artificial Neural Networks (ANN), which is known as connectionist ...
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Multiscale process monitoring with singular spectrum analysis
... using singular spectrum analysis for signal decomposition was proposed as an alternative to existing wavelet-based ...of singular spectrum analysis is their data adaptive ...
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Decomposition of the European GDP based on Singular Spectrum Analysis
... Decomposition of the European GDP based on Singular Spectrum Analysis. Leon, Costas[r] ...
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The Effect of Data Transformation on Singular Spectrum Analysis for Forecasting
... † These authors contributed equally to this work. Received: 14 January 2020; Accepted: 17 April 2020; Published: 7 May 2020 Abstract: Data transformations are an important tool for improving the accuracy of forecasts ...
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An Evaluation of Singular Spectrum Analysis Based Seasonal Adjustment
... ABSTRACT In this paper, the Singular Spectrum Analysis (SSA) is presented and applied in the US air traffic emplacements for the period Jan. 1954 – Sept. 2011. I decompose the US air traffic ...
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Time Series Decomposition Using Singular Spectrum Analysis
... Singular Spectrum Analysis (SSA) is a time series analysis method which decom- poses and forecasts time ...series analysis, multivariate statistics, dynamical systems and signal ...the ...
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Singular spectrum analysis forecasting for financial time series
... Singular Spectrum analysis (SSA) is non-parametric method of time series analysis that decomposes time series into trend and built reconstructed components which upon used for forecasting, It ...
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Decomposition of the European GDP based on Singular Spectrum Analysis
... the Singular Spectrum Analysis (SSA), a relatively new tool originated in natural sciences, for orthogonal decomposition of time series, is presented and applied in the European real, seasonally ...
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Tracking the US Business Cycle With a Singular Spectrum Analysis
... The monitoring of economic developments is an exercise of considerable importance for policymakers, namely, central banks and fiscal authorities as well as for other economic agents such as financial intermediaries, ...
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Singular spectrum analysis for effective feature extraction in hyperspectral imaging
... Although this was the objective, an evaluation in [8] showed no improvement at all but deterioration of classification accuracy. Hence, our aim is to introduce the Singular Spectrum Analysis (SSA) ...
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Filtering of digital terrain models by 2D Singular Spectrum Analysis
... Pushchino, Moscow Region, 142290, Russia e-mail: [email protected] ABSTRACT Singular Spectrum Analysis (SSA) has been approved as a model-free technique to analyse time series. SSA can solve different ...
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Exploration of Singular Spectrum Analysis for Online Anomaly Detection in CRNs
... explore spectrum resource usage efficiency, while not introducing interference to licensed ...scheme. Singular Spectrum Analysis (SSA) has been theoretically proven an optimal approach for ...
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Localising Microaneurysms in Fundus Images Through Singular Spectrum Analysis
... Although these reported MA extraction approaches have some advantages, they still have difficulty in extracting MAs that are located close to blood vessels and discriminating MAs from the most common interfering ...
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In-Sample Spatio-temporal Predictions by Multivariate Singular Spectrum Analysis
... Multivariate Singular Spectrum Analysis (MSSA) is an extension of SSA to multivariate statistics and takes advantage of the delay procedure to obtain a similar formulation as SSA though with larger ...
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Complex singular spectrum analysis of earth orientation time series
... series analysis is to determine some of the system’s key properties which can then help understand and predict the system’s future behavior by quantifying certain features of the time series (Ghil et ...Component ...
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Automatic Anomaly Detection of Respiratory Motion Based on Singular Spectrum Analysis
... sometimes changes [1]. Because of these characteristics, simple threshold method tends to fail for detection of anomaly motion. There has been some useful anomaly detection algorithm for industrial use. Those algorithms ...
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Takens Theorem with Singular Spectrum Analysis Applied to Noisy Time Series
... the Singular Spectrum Analysis (SSA) technique is a powerful tool that can be used for noise reduction and forecasting of both linear and nonlinear, stationary and non-stationary time series ...
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Modelling European industrial production with multivariate singular spectrum analysis: a cross industry analysis
... Multivariate Singular Spectrum Analysis (MSSA) approach is proposed to find leading indicators of cross industry relations between 24 monthly, seasonally unadjusted industrial production (IP) series ...
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Singular spectrum analysis and its application in Lamb wave-based damage detection
... Keywords: singular spectrum analysis, damage detection, Lamb wave, genetic algorithm. 1. Introduction Acousto-ultrasonic waves have shown great potential for damage detection in metallic and ...
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