Results 21 to 30 of about 280,565 (313)
Singular value decomposition applied to compact binary coalescence gravitational-wave signals [PDF]
, 2010 We investigate the application of the singular value decomposition to compact-binary, gravitational-wave data-analysis. We find that the truncated singular value decomposition reduces the number of filters required to analyze a given region of parameter ...
Adrian Chapman +7 more
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International Journal of Distributed Sensor Networks, 2020 Sparse decomposition has excellent adaptability and high flexibility in describing arbitrary complex signals based on redundant and over-complete dictionary, thus having the advantage of being free from the limitations of traditional signal processing ...
Hongchao Wang, Wenliao Du
doaj +1 more source
Singular Value Decomposition [PDF]
The Bulletin of Society for Mathematical Services and Standards, 2014 We study the SVD of an arbitrary matrix Anxm, especially its subspaces of activation, which leads in natural manner to pseudoinverse of Moore-Bjenhammar-Penrose. Besides, we analyze the compatibility of linear systems and the uniqueness of the corresponding solution, and our approach gives the Lanczos classification for these systems.
J.H. Caltenco +3 more
openaire +2 more sources
A Geometric Perspective on the Singular Value Decomposition [PDF]
, 2015 This is an introductory survey, from a geometric perspective, on the Singular Value Decomposition (SVD) for real matrices, focusing on the role of the Terracini Lemma.
Ottaviani, Giorgio, Paoletti, Raffaella
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TRUST MODEL FOR SOCIAL NETWORK USING SINGULAR VALUE DECOMPOSITION [PDF]
Interdisciplinary Description of Complex Systems, 2016 For effective interactions to take place in a social network, trust is important. We model trust of agents using the peer to peer reputation ratings in the network that forms a real valued matrix.
Davis Bundi Ntwiga +2 more
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Zhongguo dianli, 2021 Partial discharge signals are prone to missed detection under low signal-to-noise ratios, and the traditional singular value decomposition algorithm requires massive calculations when extracting partial discharge pulses.
Li WANG, Wei ZHANG, Dingnan LUO
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Reducing Memory Cost of Exact Diagonalization using Singular Value Decomposition [PDF]
, 2011 We present a modified Lanczos algorithm to diagonalize lattice Hamiltonians with dramatically reduced memory requirements, {\em without restricting to variational ansatzes}. The lattice of size $N$ is partitioned into two subclusters.
/SLAC +5 more
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A Randomized Tensor Train Singular Value Decomposition
, 2017 The hierarchical SVD provides a quasi-best low rank approximation of high dimensional data in the hierarchical Tucker framework. Similar to the SVD for matrices, it provides a fundamental but expensive tool for tensor computations. In the present work we
Huber, Benjamin +2 more
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Inferring short-term volatility indicators from Bitcoin blockchain [PDF]
, 2018 In this paper, we study the possibility of inferring early warning indicators (EWIs) for periods of extreme bitcoin price volatility using features obtained from Bitcoin daily transaction graphs.
A ElBahrawy +18 more
core +1 more source
Compression Digital Video Files using Singular Value Decomposition [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2018 The development of data transfer technologies over multimedia or communications networks needs to be addressed to large storage units so that they can be sent and received in a packaged manner.
Hasan Ahmed
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