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Jean-F Giovannelli - Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing - 9781848216372 - V9781848216372
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Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

€ 173.37
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Description for Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing Hardback. 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.
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 ... Read more

Product Details

Format
Hardback
Publication date
2015
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
322
Condition
New
Number of Pages
322
Place of Publication
London, United Kingdom
ISBN
9781848216372
SKU
V9781848216372
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Jean-F Giovannelli
Jean-François Giovannelli, Professor with Université de Bordeaux 1, France. Jérôme Idier is a researcher at IRCCyN (Institut de Recherches en Cybernetique de Nantes), France.

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