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Coil Combination Using OpTIMUS Results in Improved Signal-to-Noise Ratios of In Vivo MR Spectra Acquired at 7 T. [PDF]
Martinez Luque E +4 more
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A Real-Time Computer-Aided Diagnosis System for Coronary Heart Disease Prediction Using Clinical Information. [PDF]
Tao H +10 more
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Design and Error Calibration of a Machine Vision-Based Laser 2D Tracking System. [PDF]
Lao D, Wang X, Chen T.
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Singular Value Decomposition (SVD)
Encyclopedia of Parallel Computing, 2011In the previous section, we utilized the orthogonal direct-sum decomposi- tions $$ E^n = V_1 \oplus W_{1\,\,} \,$$ and $$ E^m = V_2 \oplus W_2 $$ where\( V_1 = Sp(A),W_1 = {V_1}^ \bot,W_2 = Ker(A),\)and\( V_2 = {W_2}^{\bot,}\)to define the Moore-Penrose inverseA- of the n by m matrix A in \( y = Ax \) a linear transformation from \( E^m \,\)
Haruo Yanai, Kei Takeuchi, Yoshio Takane
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Singular Value Decomposition (SVD) Image Coding
IEEE Transactions on Communications, 1976The numerical techniques of transform image coding are well known in the image bandwidth compression literature. This concise paper presents a new transform method in which the singular values and singular vectors of an image are computed and transmitted instead of transform coefficients. The singular value decomposition (SVD) method is known to be the
H. Andrews, C. Patterson
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Applications of singular-value decomposition (SVD)
Mathematics and Computers in Simulation, 2004This work, supported by the Russian Ministry of Education, proposes and illustrates the use of singular-value decomposition (SDV) in terms of \(2\times 2\) matrices, using the suggestive terms ``hanger'', ``aligner'', ``stretcher'' and claiming that the use of SVD in education is still in its infancy.
Akritas, Alkiviadis G. +1 more
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Substructuring technique: improvement by means of singular value decomposition (SVD)
Applied Acoustics, 2001Abstract There are two classical methods used for the determination of the dynamic behaviour of a coupled structure: (a) analytical modeling and (b) experimental modal analysis. However, both these methods fail to give acceptable results due to various reasons.
T.P. Gialamas +4 more
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Singular value decomposition (SVD)
Mario Bertero +2 more
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