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Singular spectrum analysis
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11	Eﬃcient parameter estimation and implementation of a contour integral-based eigensolver Tetsuya Sakurai†,‡ , Yasunori Futamura† and Hiroto Tadano† † Department of Computer Science, University of Tsukuba ‡ Add to Reading List Source URL: www.cs.tsukuba.ac.jp Language: English - Date: 2012-11-23 21:59:18 Numerical linear algebra Matrix theory Spectral theory Functional analysis Eigenvalue algorithm Eigenvalues and eigenvectors Spectrum Gaussian quadrature Singular value decomposition Algebra Linear algebra Mathematics
12	Forecasts of Nino-34 SST Anomalies Based on Singular Spectrum Analysis Combined with the Maximum Entropy Method contributed by Dmitri Kondrashov and Michael Ghil Department of Atmospheric and Oceanic Sciences, University Add to Reading List Source URL: www.iges.org Language: English - Date: 2012-07-09 13:18:10 Static single assignment form Signal processing Singular spectrum analysis Time series analysis
13	Forecasts of Nino-34 SST Anomalies Based on Singular Spectrum Analysis Combined with the Maximum Entropy Method contributed by Dmitri Kondrashov and Michael Ghil Department of Atmospheric and Oceanic Sciences, University Add to Reading List Source URL: iges.org Language: English - Date: 2012-07-09 13:18:10 Static single assignment form Signal processing Singular spectrum analysis Time series analysis
14	REDUCED SPACE APPROACH TO THE OPTIMAL ANALYSIS OF HISTORICAL MARINE OBSERVATIONS: ACCOMPLISHMENTS, DIFFICULTIES, AND PROSPECTS A. Kaplan, M.A. Cane and Y. Kushnir, Lamont-Doherty Earth Observatory of Add to Reading List Source URL: rainbow.ldeo.columbia.edu Language: English - Date: 2004-07-15 15:09:42 Spatial data analysis Singular value decomposition Control theory Principal component analysis Data assimilation Singular spectrum analysis Covariance Kalman filter Variance Statistics Covariance and correlation Data analysis
15	Novel Approach for Calculation and Analysis of Eigenvalues and Eigenvectors in Microgrids Add to Reading List Source URL: www.nrel.gov Language: English - Date: 2014-02-19 15:20:58 Mathematical physics Numerical linear algebra Matrix theory Eigenvalues and eigenvectors Singular value decomposition Stability theory Perturbation theory QR algorithm Spectrum Algebra Mathematics Linear algebra
16	The singular value decomposition of compact operators on Hilbert spaces Jordan Bell Department of Mathematics, University of Toronto April 3, 2014 Add to Reading List Source URL: individual.utoronto.ca Language: English - Date: 2014-04-03 12:55:24 Algebra Compact operator Hilbert space Spectrum Spectral theorem Self-adjoint operator Banach algebra Finite-rank operator Banach space Operator theory Mathematical analysis Functional analysis
17	Pacific Journal of Mathematics PERTURBATIONS OF SPECTRAL OPERATORS, AND APPLICATIONS. I. BOUNDED PERTURBATIONS JACOB T. S CHWARTZ Add to Reading List Source URL: www.multimedialibrary.com Language: English - Date: 2014-03-05 11:28:31 Spectral theory Operator theory Linear algebra Matrix theory Singular value decomposition Spectrum Compact operator Spectral theorem Eigenvalues and eigenvectors Algebra Mathematics Mathematical analysis
18	Time series analysis [Book, Ch[removed]Singular spectrum analysis [Book, Sect[removed]So far, our PCA involves finding eigenvectors containing spatial information. It is possible to use the PCA approach to incorporate time Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-09-11 18:52:26 Singular value decomposition Abstract algebra Matrix theory Signal processing Singular spectrum analysis Eigenvalues and eigenvectors Principal component analysis Static single assignment form Vector space Algebra Mathematics Linear algebra
19	References Allen, M. R., and Smith, L. A[removed]Optimal filtering in singular spectrum analysis. Physics Letters A 234, [removed]Allen, M. R., and Tett, S. F. B[removed]Checking for model consistency in optimal fingerpri Add to Reading List Source URL: www.cru.uea.ac.uk Language: English - Date: 2009-12-22 04:43:47 Atmospheric sciences Gabriele C. Hegerl Attribution of recent climate change Climate change Klaus Hasselmann Carl Mears Climatologists Year of birth missing Environment
20	What is Spectral Analysis? • one of most widely used (& lucrative!) methods in data analysis • can be regarded as − analysis of variance of time series using cosines & sines − cosines & sines + statistics (or Fou Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-02-24 20:53:53 XT Mathematics Signal processing Knowledge Singular spectrum analysis Time series analysis Time series Univariate