Application of the sequential matrix diagonalization algorithm to high-dimensional functional MRI data
type: Item
instance of: scholarly article
title: Application of the sequential matrix diagonalization algorithm to high-dimensional functional MRI data
zbMATH Open document ID: 1482.62006
author: Manuel Carcenac
author: Soydan Redif
published in: Computational Statistics
publication date: 2020-07-28T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62R10
Mathematics Subject Classification ID: 65F15
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 7225396
zbMATH Keywords: polynomial eigenvalue decomposition
zbMATH Keywords: sequential matrix diagonalization
zbMATH Keywords: MIMO convolution
zbMATH Keywords: sparse polynomial matrix
zbMATH Keywords: functional magnetic resonance imaging
describes a project that uses: CUDA
describes a project that uses: JDQR
describes a project that uses: MKL
describes a project that uses: FEAST
describes a project that uses: JDQZ
MaRDI profile type: Publication
full work available at URL: s00180-019-00925-8
OpenAlex ID: W2979429784
cites work: Templates for the Solution of Algebraic Eigenvalue Problems
cites work: Independent component analysis, a new concept?
cites work: Q4917542
cites work: Fast projection methods for minimal design problems in linear system theory
cites work: Q4863621
cites work: An EVD Algorithm for Para-Hermitian Polynomial Matrices
cites work: Sequential Matrix Diagonalization Algorithms for Polynomial EVD of Parahermitian Matrices
cites work: Q3138779
cites work: Independent component analysis for tensor-valued data
cites work: On the Existence and Uniqueness of the Eigenvalue Decomposition of a Parahermitian Matrix
Wikidata QID: Q127102794
DOI: 10.1007/S00180-019-00925-8
description: scientific article; zbMATH DE number 7225396