On the relationships between SVD, KLT and PCA

DOI10.1016/0031-3203(81)90082-0zbMath0486.62055OpenAlexW2152983072MaRDI QIDQ1164932

Jan J. Gerbrands

Publication date: 1981

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0031-3203(81)90082-0

zbMATH Keywords

pattern recognitionimage processingsingular value decompositionprincipal componentsKarhunen-Loeve transformorthogonal image transforms

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Pattern recognition, speech recognition (68T10) Communication theory (94A05)

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Singular Spectrum Analysis and Circulant Maximum Variance Frames ⋮ Detecting phase transitions in collective behavior using manifold's curvature ⋮ Extension of the certain generalized stresses method for the stochastic analysis of homogeneous and laminated shells ⋮ Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction ⋮ Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations ⋮ Image compression with multiresolution singular value decomposition and other methods

Cites Work

• Outer Product Expansions and Their Uses in Digital Image Processing
• Bayesian Methods in Nonlinear Digital Image Restoration
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