Results 21 to 30 of about 2,643,042 (116)
Approximation of eigenvalues of some unbounded self-adjoint discrete Jacobi matrices by eigenvalues of finite submatrices [PDF]
Opuscula Mathematica, 2007 We investigate the problem of approximation of eigenvalues of some self-adjoint operator in the Hilbert space \(l^2(\mathbb{N})\) by eigenvalues of suitably chosen principal finite submatrices of an infinite Jacobi matrix that defines the operator ...
Maria Malejki
doaj
A Globally Convergent MCA Algorithm by Generalized Eigen-Decomposition [PDF]
International Journal of Computational Intelligence Systems, 2011 Minor component analysis (MCA) are used in many applications such as curve and surface fitting, robust beam forming, and blind signal separation. Based on the generalized eigen-decomposition, we present a completely different approach that leads to ...
Jianbin Gao, Mao Ye, Jianping Li, Qi Xia
doaj +1 more source
MathematicsIn this paper, a Toeplitz construction method based on eigenvalues and eigenvectors is proposed to combine with traditional denoising algorithms, including fractional low-order moment (FLOM), phased fractional low-order moment (PFLOM), and correntropy ...
Junyan Cui, Wei Pan, Haipeng Wang
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Estimating Angle of Arrival and Output Signals to Noise Ratio for Wideband Signals [PDF]
Engineering and Technology Journal, 2016 Multiple Signal Classification (MUSIC) algorithm is the most popular algorithm to estimate angle of arrival (AOA) for narrowband signals. This algorithm is based on the use of subspace noise Eigenvectors (Q_n) matrix related to the smallest set of Eigen ...
Bassim Sayed Mohammed
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Eigenvalues and eigenvectors of supermatrices [PDF]
Proceedings of the Japan Academy, Series A, Mathematical Sciences, 1988 On etudie le probleme des valeurs propres des supermatrices d'une facon generale et naturelle en introduisant les notions de (super) valeur propre et vecteur ...
Kobayashi, Yuji, Nagamachi, Shigeaki
openaire +2 more sources
Ekológia (Bratislava), 2016 In this study, we used bootstrap simulation of a real data set to investigate the impact of sample size (N = 20, 30, 40 and 50) on the eigenvalues and eigenvectors resulting from principal component analysis (PCA).
Shaukat S. Shahid +2 more
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Algebraic Bethe Ansatz for spinor R-matrices
SciPost Physics, 2022 We present a supermatrix realisation of $q$-deformed spinor-spinor and spinor-vector $R$-matrices. These $R$-matrices are then used to construct transfer matrices for $U_{q^2}(\mathfrak{so}_{2n+1})$- and $U_{q}(\mathfrak{so}_{2n+2})$-symmetric closed ...
Vidas Regelskis
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Eigenvalues and eigenvectors of the Laplace operator in d-dimensional cut Fock basis [PDF]
Acta Phys.Polon.B42:85-98,2011, 2010 We present exact expressions for the eigenvalues and eigenvectors of the d-dimensional Laplace operator in a cut Fock basis.
arxiv +1 more source
A Note on Surgical Eigenstructure Assignment via State Feedback [PDF]
arXiv, 2020 Assignability of all eigenvalues and a subset of key eigenvectors/generalized eigenvectors of a linear time-invariant system via state feedback is considered. We clarify that, if the key eigenvectors/generalized eigenvectors and their associated eigenvalues satisfy the classical conditions for full eigenstructure assignment, the remaining eigenvalues ...
arxiv
Spectral pruning of fully connected layers
Scientific Reports, 2022 Training of neural networks can be reformulated in spectral space, by allowing eigenvalues and eigenvectors of the network to act as target of the optimization instead of the individual weights.
Lorenzo Buffoni +4 more
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