singular spectrum analysis (SSA)
Singular Spectrum Analysis: Methodology and Comparison
... years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analysis, has been developed and applied to many practical ...
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Improved singular spectrum analysis for time series with missing data
... Abstract. Singular spectrum analysis (SSA) is a powerful technique for time series analysis. Based on the property that the original time series can be reproduced from its princi- pal ...
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Singular spectrum analysis : a note on data processing for Fourier transform hyperspectral imagers
... called Singular Spectrum Analysis (SSA) to process raw hyperspectral imagery collected with FT imagers that addresses some of the data processing issues associated with FT instruments including the ...
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Fast implementation of singular spectrum analysis for effective feature extraction in hyperspectral imaging
... series analysis, singular spectrum analysis (SSA) has been successfully applied for feature extraction in hyperspectral imaging (HSI), leading to increased accuracy in pixel-based ...
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Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images
... Abstract: Dimensionality reduction is of high importance in hyperspectral data processing, which can effectively reduce the data redundancy and computation time for improved classification accuracy. Band selection and ...
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Effective denoising and classification of hyperspectral images using curvelet transform and singular spectrum analysis
... – singular spectrum analysis ...data analysis, the curvelet transform is employed in this paper since it is able to separate image geometric details and background noise ...
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Relationship between seismicity and water level in the Enguri high dam area (Georgia) using the singular spectrum analysis
... the Singular Spectrum Analysis (SSA) (Vautard and Ghil, ...ponents Analysis (PCA) technique in which the set of input vectors comprise a time-series and phase-lagged copies of itself, and is ...
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Microphone wind noise reduction using singular spectrum analysis techniques
... called Singular Spectrum Analysis (SSA) method, which has been recently seen many successful paradigms in the separation of biomedical signals, ...
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Signal Extraction and Forecasting of the UK Tourism Income Time Series A Singular Spectrum Analysis Approach
... In this paper, we presented and applied the Singular Spectrum Analysis in signal extraction (trends, seasonal and business cycle components) and forecasting of the UK tourism income. Our results show ...
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Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging
... In some of our previous work, we have evaluated the singular spectrum analysis (SSA) [7] technique for feature extraction in HSI remote sensing. Basically, the SSA algorithm is able to decompose ...
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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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Singular spectrum analysis for effective feature extraction in hyperspectral imaging
... series analysis, Singular Spectrum Analysis (SSA) has been applied in many diverse areas, where an original 1D signal can be decomposed into a sum of components including varying trends, ...
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Signal discrimination of ULF electromagnetic data with using singular spectrum analysis – an attempt to detect train noise
... Abstract. Electromagnetic phenomena associated with crustal activities have been reported in a wide frequency range (DC-HF). In particular, ULF electromagnetic phenom- ena are the most promising among them because of the ...
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An Evaluation of Singular Spectrum Analysis Based Seasonal Adjustment
... series analysis is a meaningful decomposition in unobserved components such as signal and ...the analysis of the economic cycle lies in the frequency domain, because of the “cyclical” properties of many ...
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Study of Singular Spectrum Analysis as a data-driven technique for damage diagnosis. Comparison between the time or frequency domain
... on Singular Spectrum Analysis (SSA) technique is presented which decomposes the measured vibration responses in a certain number of principal components which reveal the rotational patterns at any ...
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Filtering of digital terrain models by 2D Singular Spectrum Analysis
... Singular Spectrum Analysis (SSA) has been approved as a model-free technique to analyse time series. SSA can solve different problems such as decomposition into a sum of trend, periodicities, and ...
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Long term prediction of solar and geomagnetic activity daily time series using singular spectrum analysis and fuzzy descriptor models
... and singular spectrum analysis (SSA) (FD/SSA) to forecast a number of geomagnetic activity indices in a manner that optimizes a fuzzy descriptor model for each of the principal components obtained ...
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Novel two dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging
... high correlation among band images, spectral-domain feature extraction is widely employed. For effective spatial information extraction, a 2-D extension to singular spectrum analysis (SSA), a recent ...
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A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts
... A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts.. Michael Lang 1, ∗ ID.[r] ...
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Automatic Anomaly Detection of Respiratory Motion Based on Singular Spectrum Analysis
... There has been some useful anomaly detection algorithm for industrial use. Those algorithms are classified into two categories: model based algorithm and model free algorithm. Typical examples of model based ap- proach ...
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