The rsvd package provides one of the fastest routines for low-rank matrix approximations in R, as far as we know. The singular value decomposition plays a central role in data analysis and scientific computing. The SVD is also widely used for computing (randomized) principal component analysis (PCA), a linear dimensionality reduction technique.
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Package 'rsvd' October 14, 2022 Type Package Title Randomized Singular Value Decomposition Version 1.0.5 Date Author N. Benjamin Erichson [aut, cre] Maintainer N. Benjamin Erichson
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Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic …
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The accuracy of velocity spectrum affects the subsequent processing of seismic data. Though the singular value decomposition (SVD) weighted semblance has …
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The generalized singular value decomposition (GSVD) of two matrices with the same number of columns is a very useful tool in many practical applications. …
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The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component …
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where B is complex blood signal, N' is the additive noise after clutter filtering, x and z correspond to the lateral and axial dimensions of the ultrasound image, respectively, and …
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The accuracy of velocity spectrum affects the subsequent processing of seismic data. Though the singular value decomposition (SVD) weighted semblance has a higher velocity resolution than conventional semblance, its performance is degraded for noisy seismic data. A rectified SVD weighted semblance method (RSVD), aiming to …
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The main purpose of the paper is to develop two neural network models for finding approximations of the GSVD and the RSVD. The globally asymptotic stability …
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Here is a function that computes the RSVD for square or rectangular matrices with at least as many rows as columns. type rsvd function X = rsvd(A,r) % RSVD Approximation by the Reverse Singular Value Decomposition % rsvd(A,r) approximates A by a matrix of rank r obtained from % the r least significant singular values in …
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RSVD (AKA Slow Mode Switch) This should only be enabled when using EXTREME OVERCLOCKING or EXTREME BENCH TESTS, or using LN2 EXTREME COOLING. When this is switched on it will decrease the CPU frequency and stabilize your system, helping with your extreme overclock settings. This can damage your system if …