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Mathematical and Statistical Methods for Multistatic Imaging.
Language: English
Published by Cham, Springer International Publishing., 2014
ISBN 10: 3319025848 ISBN 13: 9783319025841
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
235 mm x 155 mm. 350 S. in 1 Teil, Approx. 350 p. 27 illus., 27 schw.-w. Ill. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Lecture Notes in Mathematics ; 2098. Sprache: Englisch.
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Mathematical and Statistical Methods for Multistatic Imaging (Lecture Notes in Mathematics 2098)
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. *Price HAS BEEN REDUCED by 10% until Monday, June 1 (sale item)* 361 pp., Paperback, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Mathematical and Statistical Methods for Multistatic Imaging (Lecture Notes in Mathematics, 2098)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.41
US$ 16.12 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 384.
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US$ 93.12
US$ 16.82 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 2013 edition. 361 pages. 9.00x6.00x0.75 inches. In Stock.
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Mathematical and Statistical Methods for Imaging: Nims Thematic Workshop Mathematical and Statistical Methods for Imaging August 10-13, 2010 Inha University Incheon, Korea (Contemporary Mathematics)
Language: English
Published by Amer Mathematical Society, 2011
ISBN 10: 0821852892 ISBN 13: 9780821852897
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
US$ 123.30
US$ 14.32 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Mathematical and Statistical Methods for Multistatic Imaging
Language: English
Published by Springer International Publishing, Springer International Publishing, 2013
ISBN 10: 3319025848 ISBN 13: 9783319025841
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data.In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented.
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Original-kartoniert. Condition: Sehr gut. gr8 Original-kartoniert en (Lecture Notes in Mathematics 2098); XVII pp., 361 pp.
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Taschenbuch. Condition: Neu. Mathematical and Statistical Methods for Multistatic Imaging | Habib Ammari (u. a.) | Taschenbuch | Lecture Notes in Mathematics | xvii | Englisch | 2013 | Springer | EAN 9783319025841 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Statistical and Computational Methods in Brain Image Analysis (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series)
Book 3 of 8: Chapman & Hall/CRC Mathematical and Computational Imaging SciencesUS$ 428.31
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Add to basketHardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Mathematical and Statistical Methods for Multistatic Imaging
Language: English
Published by Springer International Publishing Dez 2013, 2013
ISBN 10: 3319025848 ISBN 13: 9783319025841
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data.In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented. 384 pp. Englisch.
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Condition: new. Questo è un articolo print on demand.
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Condition: New. Print on Demand pp. 384 67 Illus. (47 Col.).
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Condition: New. PRINT ON DEMAND pp. 384.
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Mathematical and Statistical Methods for Multistatic Imaging
Language: English
Published by Springer International Publishing, 2013
ISBN 10: 3319025848 ISBN 13: 9783319025841
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fundamental contributions to multistatic imagingNew dictionary-matching techniques for imagingMatlab codes for the main algorithms described in the book are providedFundamental contributions to multistatic imaging.
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Mathematical and Statistical Methods for Multistatic Imaging
Language: English
Published by Springer, Palgrave Macmillan Dez 2013, 2013
ISBN 10: 3319025848 ISBN 13: 9783319025841
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. The waves can be acoustic, elastic or electromagnetic. They are generated by point sources on a transmitter array and measured on a receiver array. An important problem in multistatic imaging is to quantify and understand the trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution. Another fundamental problem is to have a shape representation well suited to solving target imaging problems from multistatic data.In this book the trade-off between resolution and stability when the data are noisy is addressed. Efficient imaging algorithms are provided and their resolution and stability with respect to noise in the measurements analyzed. It also shows that high-order polarization tensors provide an accurate representation of the target. Moreover, a dictionary-matching technique based on new invariants for the generalized polarization tensors is introduced. Matlab codes for the main algorithms described in this book are provided. Numerical illustrations using these codes in order to highlight the performance and show the limitations of numerical approaches for multistatic imaging are presented.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 384 pp. Englisch.
