Results 71 to 80 of about 44,503 (183)

Dynamic mode decomposition with control [PDF]

, 2014
We develop a new method which extends Dynamic Mode Decomposition (DMD) to incorporate the effect of control to extract low-order models from high-dimensional, complex systems.
Brunton, Steven L., Kutz, J. Nathan, Proctor, Joshua L.   +2 more
core  

Targeted tooth surface predesign and machine-tool settings identification methodology of spiral bevel gear considering ease-off

Journal of Advanced Mechanical Design, Systems, and Manufacturing
A novel approach has been proposed to predesign to-be-modified tooth surface of spiral bevel gear with face milling manufacturing method, based on the preset of deviation of discretized points along normal direction.
Wenjun HE, Chaosheng SONG, Siyuan LIU, Cheng XUE, Hongtao DONG   +4 more
doaj   +1 more source

Evaluating Matrix Factorization Techniques for Thematic Mapping of Wilderness Walkability Using Multiple GPX Datasets [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Quantitative thematic mapping of walkability in wilderness areas is challenging due to sparse and unreliable data. Unlike urban walkability, which depends on built infrastructure, wilderness walkability is influenced by natural terrain features such as ...
L. Šerić, B. Draško, A. Ivanda
doaj   +1 more source

A Randomized Proper Orthogonal Decomposition Method for Reducing Large Linear Systems [PDF]

, 2015
The proper orthogonal decomposition (POD) method is a powerful tool for reducing large data systems which can quickly overwhelm modern computing tools. In this thesis we provide a link between randomized projections and statistical methods by introducing
Marvin, Brad
core  

On the truncated multilinear singular value decomposition

, 2011
In this report, we investigate the truncated multilinear singular value decomposition (MLSVD), as presented in [L. De Lathauwer, B. De Moor and J. Vandewalle, a multilinear singular value decomposition, 2000]. The T-MLSVD comprises a Tucker decomposition [L.R.
Vannieuwenhoven, Nick, Vandebril, Raf, Meerbergen, Karl   +2 more
openaire   +1 more source

Compressive Sensing in High-resolution 3D SAR Tomography of Urban Scenarios

Leida xuebao, 2015
In modern high resolution SAR data, due to the intrinsic side-looking geometry of SAR sensors, layover and foreshortening issues inevitably arise, especially in dense urban areas.
Liao Ming-sheng, Wei Lian-huan, Wang Zi-yun, Timo Balz, Zhang Lu   +4 more
doaj   +1 more source

NMR Solvent Peak Suppression by Piecewise Polynomial Truncated Singular Value Decomposition Methods [PDF]

Bulletin of the Korean Chemical Society, 2003
A new modified singular value decomposition method, piecewise polynomial truncated SVD (PPTSVD), which was originally developed to identify discontinuity of the earth’s radial density function, has been used for large solvent peak suppression and noise elimination in nuclear magnetic resonance (NMR) signal processing.
openaire   +1 more source

Decomposition and graphical correspondence analysis of checkerboard copulas

Dependence Modeling
We analyze optimal low-rank approximations and correspondence analysis of the dependence structure given by arbitrary bivariate checkerboard copulas. Methodologically, we make use of the truncation of singular value decompositions of doubly stochastic ...
Grothe Oliver, Rieger Jonas
doaj   +1 more source

Derivative of the truncated singular value and eigen decomposition

Technical ...
openaire   +2 more sources

Modified Non-Negative Constraint Damping Method for T2 Spectrum Inversion of Nuclear Magnetic Resonance

Cejing jishu
In order to optimize nuclear magnetic resonance (NMR) logging technology and accelerate the processing speed of NMR logging data, a class of non-negative constraint modified damping algorithm is proposed to solve the NMR T2 spectral inversion problem ...
LEI Xin, LIAO Xinkai, LIAO Lidan
doaj   +1 more source