The problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation ...
Abstract: A new algorithm for parallel joint diagonalization of symmetric (Hermitian) matrices is introduced. The approach is based on the Jacobi diagonalization, utilizes the distribution of the ...
Abstract: Approximate Joint Diagonalization (AJD) of a set of symmetric matrices by an orthogonal transform is a popular problem in Blind Source Separation (BSS). In this paper we propose a gradient ...
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Kobe Center, Research Organization for Information Science and Technology, Kobe KIMEC Center Building, 1-5-2 Minatojima-minami-machi, Chuo-ku, Kobe 650-0047, Japan Article Views are the ...
Department of Cyber-Physical Systems, Clark Atlanta University, Atlanta, GA, USA. where P is some reflection (symmetric signed permutation) matrix. Like U, the generalized reflexive matrices A arise ...
[1] G. Constantine, “Lower Bounds for the Spectra of Symmetric Matrices with Nonnegative Entries,” Linear Algebra and its Applications, Vol. 65, 1985, pp. 171-178 ...
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