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Matrices and tensors in signal processing set. Volume 1, From algebraic structures to tensors / edited by Gerard Favier.

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Format:
Book
Contributor:
Favier, Gérard, editor.
Series:
Digital signal and image processing series ; volume 1.
Digital signal and image processing series ; volume 1
Language:
English
Subjects (All):
Tensor algebra.
Matrices.
Algebraic spaces.
Physical Description:
1 online resource
polychrome
Edition:
1st ed.
Place of Publication:
London : ISTE : Wiley, 2019.
Summary:
Nowadays, tensors play a central role for the representation, mining, analysis, and fusion of multidimensional, multimodal, and heterogeneous big data in numerous fields. This set on Matrices and Tensors in Signal Processing aims at giving a self-contained and comprehensive presentation of various concepts and methods, starting from fundamental algebraic structures to advanced tensor-based applications, including recently developed tensor models and efficient algorithms for dimensionality reduction and parameter estimation. Although its title suggests an orientation towards signal processing, the results presented in this set will also be of use to readers interested in other disciplines. This first book provides an introduction to matrices and tensors of higher-order based on the structures of vector space and tensor space. Some standard algebraic structures are first described, with a focus on the hilbertian approach for signal representation, and function approximation based on Fourier series and orthogonal polynomial series. Matrices and hypermatrices associated with linear, bilinear and multilinear maps are more particularly studied. Some basic results are presented for block matrices. The notions of decomposition, rank, eigenvalue, singular value, and unfolding of a tensor are introduced, by emphasizing similarities and differences between matrices and tensors of higher-order.
Contents:
Volume 1. From algebraic structures to tensors.
Notes:
Description based on publisher supplied metadata and other sources.
Description based on print record.
Includes bibliographical references and index.
ISBN:
9781119681090
111968109X
9781119681113
1119681111
9781119681137
1119681138
OCLC:
1132270858

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