نتایج جستجو برای: svd سریع

تعداد نتایج: 21394  

Journal: :IEEE Transactions on Signal Processing 2004

Journal: :IEEE Transactions on Microwave Theory and Techniques 2000

Journal: :Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1996

Journal: :Stroke 2014
Yoko Okada Katsuhiko Kohara Masayuki Ochi Tokihisa Nagai Yasuharu Tabara Michiya Igase Tetsuro Miki

BACKGROUND AND PURPOSE Arterial stiffness, a risk factor of brain small vessel diseases (SVD), causes hemodynamic changes. Mechanical stresses, circumferential wall tension (WT), and shear stress (SS) may change with arterial stiffness and be related to SVD. We investigated the associations between mechanical stresses and arterial stiffness and SVD. METHODS A total of 1296 subjects without ap...

2010
Rebecca A. Charlton Thomas R. Barrick

Background and Purpose—Cerebral small vessel disease (SVD) is the most common cause of vascular dementia. Interest in the use of surrogate markers is increasing. The aims of this study were to determine if brain volume was different between patients with SVD and control subjects, whether it correlated with cognition in SVD, and whether changes in brain volume could be detected during prospectiv...

Journal: :IOSR Journal of VLSI and Signal Processing 2017

2013
C. Amole G. B. Andresen W. Bertsche A. Capra A. Deller S. Jonsell P. Nolan K. Olchanski S. Stracka E. Sarid D. Seddon T. Tharp

The Silicon Vertex Detector (SVD) is the main diagnostic tool in the ALPHA-experiment. It provides precise spatial and timing information of antiproton (antihydrogen) annihilation events (vertices), and most importantly, the SVD is capable of directly identifying and analysing single annihilation events, thereby forming the basis of ALPHA's analysis. This paper describes the ALPHA SVD and its u...

2016
MANTAS MAŽEIKA

The purpose of this paper is to present a largely self-contained proof of the singular value decomposition (SVD), and to explore its application to the low rank approximation problem. We begin by proving background concepts used throughout the paper. We then develop the SVD by way of the polar decomposition. Finally, we show that the SVD can be used to achieve the best low rank approximation of...

2013
Lina Zhao Wanbao Hu Lihong Cui

SVD and FFT are both the efficient tools for image analysis and face recognition. In this paper, we first study the role of SVD and FFT in both filed. Then the decomposition information from SVD and FFT are compared. Next, a new viewpoint that the singular value matrix contains the illumination information of the image is proposed and testified by the experiments based on the ORL face database ...

2014
Ahmed F. Mabied Shunsuke Nozawa Manabu Hoshino Ayana Tomita Tokushi Sato Shin-ichi Adachi

Singular value decomposition (SVD) analysis has important applications for time-dependent crystallographic data, extracting significant information. Herein, a successful application of SVD analysis of time-resolved powder diffraction data over the course of an in-situ photodimerization reaction of anthracene derivatives is introduced. SVD revealed significant results in the case of 9-methylanth...

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