- Inbunden (Hardback)
- Antal sidor
- Birkhauser Boston Inc
- Kutyniok, Gitta (ed.), Labate, Demetrio (ed.)
- 9 schwarz-weiße Tabellen 32 schwarz-weiße und 18 farbige Abbildungen
- 9 Tables, black and white; 19 Illustrations, color; 31 Illustrations, black and white; XIX, 328 p. 5
- 231 x 155 x 30 mm
- Antal komponenter
- 1 Hardback
- 772 g
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Multiscale Analysis for Multivariate Data
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Bloggat om Shearlets
With a broad range of experience as a scholar and a professor over the past 15 years, Gitta Kutyniok has received numerous awards for her teaching and research, including the Weierstrass Prize for outstanding teaching at the Universitat Paderborn in 1998, the Research Prize of the University Giessen in 2006, and the prestigious von Kaven Prize in 2007. More recently, she has served as an Associate Editor for the Journal of Wavelet Theory and Applications; as a Corresponding Editor for Acta Applicandae Mathematicae; and as an Advisory Board member for Birkhauser's Applied and Numerical Harmonic Analysis series. She was a panelist for the NSF in 2008 and serves as a reviewer for the European Commission, the DFG-German Research Foundation, the Israel Science Foundation, the NSF, and the French National Research Agency, among others. She has published one book and over 75 peer-reviewed journal and conference publications. Demetrio Labate received his Ph.D. in Electrical Engineering from the Politecnico di Torino, Italy, and his M.S. in Applied Mathematics and his Ph.D. in Mathematics from the Georgia Institute of Technology, Atlanta, GA, where he received the Sigma Xi Best Ph.D. Thesis Award in 2000. In 2008, he was awarded the NSF Career Award for young investigators for his research on shearlets. His research is currently funded by the National Science Foundation, the Army Research Office, and the Norman Hackerman Advance Research Program. He is an Associate Editor for the Journal of Wavelet Theory and Applications, and he is author or coauthor of over 60 publications in both mathematical and engineering journals.
Introduction.- Shearlets and Microlocal Analysis.- Analysis and Identification of Multidimensional Singularities using the Continuous Shearlet Transform.- Multivariate Shearlet Transform, Shearlet Coorbit Spaces and their Structural Properties.- Shearlets and Optimally Sparse Approximations.- Shearlet Multiresolution and Multiple Refinement.- Digital Shearlet Transforms.- Imaging Applications.