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Author: DENIS.. PREMEL
Publisher:
ISBN:
Category :
Languages : fr
Pages :
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LE PROBLEME TRAITE EST CELUI DE LA MISE EN UVRE D'UN PROCEDE D'IMAGERIE TOMOGRAPHIQUE PAR COURANTS DE FOUCAULT, CAPABLE DE FOURNIR LA CARTOGRAPHIE QUANTITATIVE DE LA CONDUCTIVITE RELATIVE D'UN MILIEU CONDUCTEUR NON FERROMAGNETIQUE. L'APPLICATION CHOISIE CONCERNE LE CONTROLE NON DESTRUCTIF DES TUBES PAR COURANTS DE FOUCAULT. LA RESOLUTION D'UN TEL PROBLEME NECESSITE SA FORMULATION EN TERMES DE PROBLEME INVERSE. POUR CELA, NOUS CONSTRUISONS, TOUT D'ABORD, UN MODELE NUMERIQUE DE RESOLUTION DU PROBLEME DIRECT QUE NOUS VALIDONS ENSUITE PAR UNE CONFRONTATION ENTRE LES DONNEES QU'IL FOURNIT ET LES DONNEES OBTENUES EXPERIMENTALEMENT OU CALCULEES PAR UN CODE DE CALCULS AUX ELEMENTS FINIS. LA GEOMETRIE CYLINDRIQUE DU PROBLEME QUE NOUS AVONS CHOISIE EXIGE DE RESOUDRE UNE EQUATION DE FREDHOLM DE PREMIERE ESPECE DONT LE NOYAU EST INVARIANT PAR TRANSLATION SUIVANT L'AXE DE MESURE. LE CARACTERE MAL-POSE DU PROBLEME INVERSE RESULTANT EXIGE LA PRISE EN COMPTE D'UNE INFORMATION A PRIORI POUR REGULARISER LA SOLUTION. APRES LA DISCRETISATION DU MODELE, NOUS PROPOSONS UNE APPROCHE BAYESIENNE DE LA REGULARISATION POUR RESOUDRE LE SYSTEME D'EQUATIONS LINEAIRES OBTENU. CETTE APPROCHE NOUS PERMET, CONTRAIREMENT A LA PLUPART DES METHODES D'INVERSION EXISTANTES, DE CHOISIR DES FONCTIONNELLES DE REGULARISATION APPROPRIEES A L'OBJET A RECONSTRUIRE ET DE FOURNIR DES MOYENS POUR ESTIMER LES HYPERPARAMETRES DU PROBLEME. NOUS AVONS ETABLI PAR DES CONSIDERATIONS PHYSIQUES UNE LOI A PRIORI PLUS SPECIFIQUE A NOTRE PROBLEME ET AVONS PROPOSE UNE PROCEDURE ITERATIVE DE RECONSTRUCTION QUI ESTIME LES HYPERPARAMETRES DU PROBLEME EN MEME TEMPS QUE LA SOLUTION. L'INTERET ET L'EFFICACITE DE LA METHODE PROPOSEE SONT DEMONTRES PAR DES RESULTATS DE RECONSTRUCTION A PARTIR DES DONNEES SIMULEES ET EXPERIMENTALES
Author: DENIS.. PREMEL
Publisher:
ISBN:
Category :
Languages : fr
Pages :
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Book Description
LE PROBLEME TRAITE EST CELUI DE LA MISE EN UVRE D'UN PROCEDE D'IMAGERIE TOMOGRAPHIQUE PAR COURANTS DE FOUCAULT, CAPABLE DE FOURNIR LA CARTOGRAPHIE QUANTITATIVE DE LA CONDUCTIVITE RELATIVE D'UN MILIEU CONDUCTEUR NON FERROMAGNETIQUE. L'APPLICATION CHOISIE CONCERNE LE CONTROLE NON DESTRUCTIF DES TUBES PAR COURANTS DE FOUCAULT. LA RESOLUTION D'UN TEL PROBLEME NECESSITE SA FORMULATION EN TERMES DE PROBLEME INVERSE. POUR CELA, NOUS CONSTRUISONS, TOUT D'ABORD, UN MODELE NUMERIQUE DE RESOLUTION DU PROBLEME DIRECT QUE NOUS VALIDONS ENSUITE PAR UNE CONFRONTATION ENTRE LES DONNEES QU'IL FOURNIT ET LES DONNEES OBTENUES EXPERIMENTALEMENT OU CALCULEES PAR UN CODE DE CALCULS AUX ELEMENTS FINIS. LA GEOMETRIE CYLINDRIQUE DU PROBLEME QUE NOUS AVONS CHOISIE EXIGE DE RESOUDRE UNE EQUATION DE FREDHOLM DE PREMIERE ESPECE DONT LE NOYAU EST INVARIANT PAR TRANSLATION SUIVANT L'AXE DE MESURE. LE CARACTERE MAL-POSE DU PROBLEME INVERSE RESULTANT EXIGE LA PRISE EN COMPTE D'UNE INFORMATION A PRIORI POUR REGULARISER LA SOLUTION. APRES LA DISCRETISATION DU MODELE, NOUS PROPOSONS UNE APPROCHE BAYESIENNE DE LA REGULARISATION POUR RESOUDRE LE SYSTEME D'EQUATIONS LINEAIRES OBTENU. CETTE APPROCHE NOUS PERMET, CONTRAIREMENT A LA PLUPART DES METHODES D'INVERSION EXISTANTES, DE CHOISIR DES FONCTIONNELLES DE REGULARISATION APPROPRIEES A L'OBJET A RECONSTRUIRE ET DE FOURNIR DES MOYENS POUR ESTIMER LES HYPERPARAMETRES DU PROBLEME. NOUS AVONS ETABLI PAR DES CONSIDERATIONS PHYSIQUES UNE LOI A PRIORI PLUS SPECIFIQUE A NOTRE PROBLEME ET AVONS PROPOSE UNE PROCEDURE ITERATIVE DE RECONSTRUCTION QUI ESTIME LES HYPERPARAMETRES DU PROBLEME EN MEME TEMPS QUE LA SOLUTION. L'INTERET ET L'EFFICACITE DE LA METHODE PROPOSEE SONT DEMONTRES PAR DES RESULTATS DE RECONSTRUCTION A PARTIR DES DONNEES SIMULEES ET EXPERIMENTALES
Author: Toshiyuki Takagi
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 336
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Author:
Publisher:
ISBN:
Category : Electronic instruments
Languages : en
Pages : 790
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Author: Ali Mohammad-Djafari
Publisher: Springer Science & Business Media
ISBN: 940172217X
Category : Computers
Languages : en
Pages : 431
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Book Description
The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992. It is important to note that, since its creation in 1980 by some of the researchers of the physics department at the Wyoming University in Laramie, this was the second time that it took place in Europe, the first time was in 1988 in Cambridge. The two specificities of MaxEnt workshops are their spontaneous and informal charac ters which give the participants the possibility to discuss easily and to make very fruitful scientific and friendship relations among each others. This year's organizers had fixed two main objectives: i) to have more participants from the European countries, and ii) to give special interest to maximum entropy and Bayesian methods in signal and image processing. We are happy to see that we achieved these objectives: i) we had about 100 participants with more than 50 per cent from the European coun tries, ii) we received many papers in the signal and image processing subjects and we could dedicate a full day of the workshop to the image modelling, restoration and recon struction problems.
Author: Electricité de France. Direction des études et recherches
Publisher:
ISBN:
Category :
Languages : en
Pages : 26
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Author:
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 462
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Author: Chevalier François Le
Publisher: Artech House
ISBN: 9781608071357
Category : Radar
Languages : en
Pages : 422
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Book Description
Author: Ali Mohammad-Djafari
Publisher: Springer
ISBN: 0792322800
Category : Computers
Languages : en
Pages : 450
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Book Description
The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992. It is important to note that, since its creation in 1980 by some of the researchers of the physics department at the Wyoming University in Laramie, this was the second time that it took place in Europe, the first time was in 1988 in Cambridge. The two specificities of MaxEnt workshops are their spontaneous and informal charac ters which give the participants the possibility to discuss easily and to make very fruitful scientific and friendship relations among each others. This year's organizers had fixed two main objectives: i) to have more participants from the European countries, and ii) to give special interest to maximum entropy and Bayesian methods in signal and image processing. We are happy to see that we achieved these objectives: i) we had about 100 participants with more than 50 per cent from the European coun tries, ii) we received many papers in the signal and image processing subjects and we could dedicate a full day of the workshop to the image modelling, restoration and recon struction problems.
Author: Antonio De Maio
Publisher: IET
ISBN: 1613531990
Category : Technology & Engineering
Languages : en
Pages : 395
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Book Description
Modern radar detection is the new frontier for advanced radar systems capable of operating in challenging scenarios with a plurality of interference sources, both manmade and natural. Written by top researchers and recognized leaders in the field, this is the first book to provide a comprehensive understanding of the current research trends in modern radar detection. It updates readers with the latest radar signal processing algorithms now capable with high-speed computer chips and sophisticated programs. It also includes examples and applications from real systems. This is essential reading for radar systems design engineers within aerospace companies, military radar engineers, and aerospace contractors/consultants.
Author: Ali Mohammad-Djafari
Publisher: American Institute of Physics
ISBN:
Category : Mathematics
Languages : en
Pages : 616
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Book Description
The MaxEnt workshops are devoted to Bayesian inference and maximum entropy methods in science and engineering. In addition, this workshop included all aspects of probabilistic inference, such as foundations, techniques, algorithms, and applications. All papers have been peer-reviewed.
