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Filtered by keyword:eof-pca-svd

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  1. Bjoernsson, H. and S. A. Venegas (1997), A Manual for EOF and SVD Analyses of Climatic Data, McGill University.
  2. Hamilton, D. J., W. A. Sandham, J. McQueen, and A. Blanco (1998), Electrocardiogram Data Compression by Estimation on Higher-Index Principal Components, Applied Signal Processin, 5, 49–58.
  3. Hoffmann, R. N. and D. W. Johnson (1994), Application of EOF`s to Multispectral Imagery: Data Compression and Noise Detection for AVIRIS, IEEE T. Geosci. Remote, 32(1), 25–33.
  4. Lathauwer, L. de, B. de Moor, and J. Vandewalle (2000), A multilinear singular value decomposition, Siam J. Matrix Anal. Appl., 21(4), 1253–1278.
  5. Matricardi, M. (2010), A principal component based version of the RTTOV fast radiative transfer model, Q. J. R. Meteorol. Soc., 136(652), 1823–1835, doi:10.1002/qj.680.
  6. Schutter, B. de and B. de Moor (1998), The QR decomposition and the singular value decomposition in the symmetrized max-plus algebra, Siam J. Matrix Anal. Appl., 19(2), 378–406.
  7. Smith, W. L. and H. M. Woolf (1976), The Use of Eigenvectors of Statistical Covariance Matrices for Interpreting Satellite Sounding Radiometer Observations, J. Atmos. Sci., 33(7), 1127–1140.
  8. Surussavadee, C. and D. H. Staelin (2008), Global Millimeter-Wave Precipitation Retrievals Trained With a Cloud-Resolving Numerical Weather Prediction Model, Part I: Retrieval Design, IEEE T. Geosci. Remote, 46, 99–108, doi:10.1109/TGRS.2007.908302.