Regularization bayesian methods inverse (19 risultati)
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Hardcover. Condizione: new. Hardcover. 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 int…o 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 fields 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condizione: New. 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. Editor(s):…Idier, Jerome; Giovannelli, Jean-Francois. Num Pages: 322 pages, black & white illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 233 x 166 x 23. Weight in Grams: 632. . 2015. Hardback. . . . .
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Gebunden. Condizione: New. 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 t.
Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing
Giovannelli , Jean-fran?ois (Editor)/ Idier , J?r?me (Editor)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Condizione: New. 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. Editor(s):…Idier, Jerome; Giovannelli, Jean-Francois. Num Pages: 322 pages, black & white illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 233 x 166 x 23. Weight in Grams: 632. . 2015. Hardback. . . . . Books ship from the US and Ireland.
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Buch. Condizione: Neu. Neuware - 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 acco…unt. 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.
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Hardcover. Condizione: new. Hardcover. 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 int…o 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 fields 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing
Giovannelli , Jean-fran?ois (Editor)/ Idier , J?r?me (Editor)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 1st edition. 322 pages. 9.75x6.50x1.00 inches. In Stock. This item is printed on demand.
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