Décompositions Matricielles et Tensorielles en Traitement du Signal / Gérard Favier.

Format:

Book

Author/Creator:

Favier, Gérard, author.

Language:

French

Subjects (All):

Matrices.

Physical Description:

1 online resource (418 pages)

Edition:

First edition.

Place of Publication:

London, England : ISTE Editions Ltd, [2022]

Summary:

This book, authored by Gérard Favier, focuses on the application of tensor and matrix-based approaches in signal processing, particularly in the context of Big Data. It explores the use of tensors for data compression, analysis, and fusion of large and multimodal datasets. The book provides a detailed examination of various tensor operations like the Hadamard, Kronecker, and Khatri-Rao products using index notation. It also introduces concepts such as eigenvalues and singular values of tensors, and discusses their applications in signal processing. Aimed at researchers and professionals in signal processing and related fields, this book serves as a comprehensive guide to tensorial methods in digital information processing. Generated by AI.

Contents:

Intro

Table des matières

Avant-propos

Introduction

Chapitre 1

Chapitre 2

Chapitre 3

Chapitre 4

Chapitre 5

Annexe

Bibliographie

Index.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Includes bibliographical references and index.

Part of the metadata in this record was created by AI, based on the text of the resource.

Other Format:

Print version: Favier, Gérard Décompositions Matricielles et Tensorielles en Traitement du Signal

ISBN:

9781784068288