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Author: Charles Villemur
Publisher:
ISBN:
Category :
Languages : fr
Pages :
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LE PRESENT DOCUMENT TRAITE DE L'APPLICATION DE TECHNIQUES DE MODELISATION PARAMETRIQUE AU TRAITEMENT D'UN TYPE PARTICULIER DE SIGNAUX TRANSITOIRES: SIGNAUX COURANTS DE FOUCAULT EN CONTROLE NON-DESTRUCTIF. L'EXPOSE A ETE DIVISE EN TROIS PARTIES: MODELISATION, SEGMENTATION ET CLASSIFICATION AUTOMATIQUE. LA PREMIERE PARTIE EST ESSENTIELLEMENT THEORIQUE: ON DONNE DE NOUVELLES FORMULATIONS DE LA METHODE DE PRONY EN UTILISANT LA FONCTION D'AUTOCORRELATION DU SIGNAL. ON ETUDIE LE FONCTIONNEMENT D'UN ALGORITHME DE SOUSTRACTION DE BRUIT DANS LE CAS DE SIGNAUX TRANSITOIRES BRUITES ET ON MONTRE QUE CET ALGORITHME PEUT ETRE FORMULE ADAPTATIVEMENT. LA SECONDE PARTIE EST CONSACREE A L'EVALUATION DES PERFORMANCES RESPECTIVES DE TROIS ALGORITHMES DE SEGMENTATION APPLIQUES AUX SIGNAUX ETUDIES. CES ALGORITHMES SONT TOUS BASES SUR DES MODELES AUTOREGRESSIFS MAIS DIFFERENT QUANT AU TEST DE DECISION POUR LA DETECTION D'UN SAUT DE PARAMETRES. DANS LA TROISIEME PARTIE, NOTRE BUT EST DE DEFINIR UN OUTIL DE CLASSIFICATION AUTOMATIQUE POUR LA RECONNAISSANCE DE FORMES APPARAISSANT DANS DES SIGNAUX DE CONTROLE ET DETECTEES PAR L'ALGORITHME DE SEGMENTATION PRECEDEMMENT DEFINI. LE TRAVIL CONSISTE A DEFINIR LE COUPLE OPTIMAL VECTEUR MODELE PARAMETRIQUE PLUS METRIQUE QUI DONNE LE MEILLEUR POURCENTAGE DE BIEN-CLASSES SUR UNE BASE D'APPRENTISSAGE. AFIN DE CHOISIR LES PARAMETRES LES PLUS PERTINENTS, NOUS PROPOSONS DEUX REGLES DE SELECTION. ON VERIFIE ENSUITE LES QUALITES DE CET OUTIL DE CLASSIFICATION SUR UNE BASE DE DONNEES DE TEST
Author: Charles Villemur
Publisher:
ISBN:
Category :
Languages : fr
Pages :
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Book Description
LE PRESENT DOCUMENT TRAITE DE L'APPLICATION DE TECHNIQUES DE MODELISATION PARAMETRIQUE AU TRAITEMENT D'UN TYPE PARTICULIER DE SIGNAUX TRANSITOIRES: SIGNAUX COURANTS DE FOUCAULT EN CONTROLE NON-DESTRUCTIF. L'EXPOSE A ETE DIVISE EN TROIS PARTIES: MODELISATION, SEGMENTATION ET CLASSIFICATION AUTOMATIQUE. LA PREMIERE PARTIE EST ESSENTIELLEMENT THEORIQUE: ON DONNE DE NOUVELLES FORMULATIONS DE LA METHODE DE PRONY EN UTILISANT LA FONCTION D'AUTOCORRELATION DU SIGNAL. ON ETUDIE LE FONCTIONNEMENT D'UN ALGORITHME DE SOUSTRACTION DE BRUIT DANS LE CAS DE SIGNAUX TRANSITOIRES BRUITES ET ON MONTRE QUE CET ALGORITHME PEUT ETRE FORMULE ADAPTATIVEMENT. LA SECONDE PARTIE EST CONSACREE A L'EVALUATION DES PERFORMANCES RESPECTIVES DE TROIS ALGORITHMES DE SEGMENTATION APPLIQUES AUX SIGNAUX ETUDIES. CES ALGORITHMES SONT TOUS BASES SUR DES MODELES AUTOREGRESSIFS MAIS DIFFERENT QUANT AU TEST DE DECISION POUR LA DETECTION D'UN SAUT DE PARAMETRES. DANS LA TROISIEME PARTIE, NOTRE BUT EST DE DEFINIR UN OUTIL DE CLASSIFICATION AUTOMATIQUE POUR LA RECONNAISSANCE DE FORMES APPARAISSANT DANS DES SIGNAUX DE CONTROLE ET DETECTEES PAR L'ALGORITHME DE SEGMENTATION PRECEDEMMENT DEFINI. LE TRAVIL CONSISTE A DEFINIR LE COUPLE OPTIMAL VECTEUR MODELE PARAMETRIQUE PLUS METRIQUE QUI DONNE LE MEILLEUR POURCENTAGE DE BIEN-CLASSES SUR UNE BASE D'APPRENTISSAGE. AFIN DE CHOISIR LES PARAMETRES LES PLUS PERTINENTS, NOUS PROPOSONS DEUX REGLES DE SELECTION. ON VERIFIE ENSUITE LES QUALITES DE CET OUTIL DE CLASSIFICATION SUR UNE BASE DE DONNEES DE TEST
Author:
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ISBN:
Category : Signal processing
Languages : en
Pages : 652
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Book Description
Author: Ahmed Belasri
Publisher: Springer Nature
ISBN: 9811554447
Category : Technology & Engineering
Languages : en
Pages : 659
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Book Description
This book highlights peer reviewed articles from the 1st International Conference on Renewable Energy and Energy Conversion, ICREEC 2019, held at Oran in Algeria. It presents recent advances, brings together researchers and professionals in the area and presents a platform to exchange ideas and establish opportunities for a sustainable future. Topics covered in this proceedings, but not limited to, are photovoltaic systems, bioenergy, laser and plasma technology, fluid and flow for energy, software for energy and impact of energy on the environment.
Author: Petar Djuric
Publisher: Academic Press
ISBN: 0128136782
Category : Computers
Languages : en
Pages : 868
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Book Description
Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience. With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings. Presents the first book on cooperative signal processing and graph signal processing Provides a range of applications and application areas that are thoroughly covered Includes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book
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Publisher:
ISBN:
Category : Chaotic behavior in systems
Languages : en
Pages : 130
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Book Description
Author: Jean-Francois Giovannelli
Publisher: John Wiley & Sons
ISBN: 1118826981
Category : Technology & Engineering
Languages : en
Pages : 322
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Book Description
The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm. From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications. The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.
Author: Emmanuel Vincent
Publisher: John Wiley & Sons
ISBN: 1119279895
Category : Technology & Engineering
Languages : en
Pages : 517
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Book Description
Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: Consolidated perspective on audio source separation and speech enhancement. Both historical perspective and latest advances in the field, e.g. deep neural networks. Diverse disciplines: array processing, machine learning, and statistical signal processing. Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.
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ISBN:
Category : Aeronautics
Languages : en
Pages : 296
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Book Description
Author: George A. Mashour
Publisher: Oxford University Press
ISBN: 0190453303
Category : Medical
Languages : en
Pages : 296
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Book Description
Although the perioperative care of patients by anesthesiologists draws on diverse clinical skills, the principles of anesthesiology and pain management are rooted in the neurosciences. The Neuroscientific Foundations of Anesthesiology thoroughly examines the anesthetic modulation of the central, peripheral, and autonomic nervous systems and will help redefine anesthesiology as a fundamentally neuroscientific field. The book is organized by sections, with each focusing on a different part of the nervous system. State-of-the-art chapters written by thought-leaders in anesthesiology and neuroscience provide a novel and invaluable resource.
Author: Sandip Mazumder
Publisher: Academic Press
ISBN: 0128035048
Category : Mathematics
Languages : en
Pages : 484
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Book Description
Numerical Methods for Partial Differential Equations: Finite Difference and Finite Volume Methods focuses on two popular deterministic methods for solving partial differential equations (PDEs), namely finite difference and finite volume methods. The solution of PDEs can be very challenging, depending on the type of equation, the number of independent variables, the boundary, and initial conditions, and other factors. These two methods have been traditionally used to solve problems involving fluid flow. For practical reasons, the finite element method, used more often for solving problems in solid mechanics, and covered extensively in various other texts, has been excluded. The book is intended for beginning graduate students and early career professionals, although advanced undergraduate students may find it equally useful. The material is meant to serve as a prerequisite for students who might go on to take additional courses in computational mechanics, computational fluid dynamics, or computational electromagnetics. The notations, language, and technical jargon used in the book can be easily understood by scientists and engineers who may not have had graduate-level applied mathematics or computer science courses. - Presents one of the few available resources that comprehensively describes and demonstrates the finite volume method for unstructured mesh used frequently by practicing code developers in industry - Includes step-by-step algorithms and code snippets in each chapter that enables the reader to make the transition from equations on the page to working codes - Includes 51 worked out examples that comprehensively demonstrate important mathematical steps, algorithms, and coding practices required to numerically solve PDEs, as well as how to interpret the results from both physical and mathematic perspectives
