Singular-spectrum Analysis
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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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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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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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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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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Multi step prediction of Dst index using singular spectrum analysis and locally linear neurofuzzy modeling
... of singular spectrum analysis, and neuro- fuzzy locally linear network with model tree learning (LOLIMOT), for multi- step prediction of the Dst in- ...of singular spectral anal- ysis results ...
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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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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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Long term prediction of solar and geomagnetic activity daily time series using singular spectrum analysis and fuzzy descriptor models
... spectral analysis for eliciting the main pat- tern of a time series is useful for determining a number of long-term trends in solar activity ...spectral analysis is singular spectrum ...
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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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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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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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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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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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Singular spectrum analysis for improving hyperspectral imaging based beef eating quality evaluation
... 3 Singular spectrum analysis for improving hyperspectral imaging based beef eating quality evaluation 4 Tong Qiaoa, Jinchang Renb, Cameron Craigiec,d, Jaime Zabalzae, Charlotte Maltinc,f[r] ...
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Relationship between seismicity and water level in the Enguri high dam area (Georgia) using the singular spectrum analysis
... Abstract. The declustered seismic catalog from 1965 to 2010 around the Enguri high dam reservoir in western Geor- gia was analyzed using the singular spectrum analysis (SSA) technique in order to ...
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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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An Evaluation of Singular Spectrum Analysis Based Seasonal Adjustment
... 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 emplacements in ...
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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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Study of Singular Spectrum Analysis as a data-driven technique for damage diagnosis. Comparison between the time or frequency domain
... on Singular Spectrum Analysis which decomposes the vibration responses in a certain number of principal components having in consideration all rotational patterns at any ...
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