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Spherical sampling / Willi Freeden, M. Zuhair Nashed, Michael Schreiner.

Freeden, W., author.; Nashed, M. Zuhair, author.; Schreiner, M. (Michael), author.
2018
QA276.6
Available Online
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Title
Spherical sampling / Willi Freeden, M. Zuhair Nashed, Michael Schreiner.
Author
Freeden, W., author.
ISBN
9783319714585 (electronic book)
3319714589 (electronic book)
9783319714578
3319714570
DOI
https://doi.org/10.1007/978-3-319-71458-5
Published
Cham, Switzerland : Birkhäuser, 2018.
Language
English
Description
1 online resource (xv, 596 pages).
Item Number
10.1007/978-3-319-71458-5 doi
Call Number
QA276.6
Dewey Decimal Classification
519.5/2
Summary
This book presents, in a consistent and unified overview, results and developments in the field of today's spherical sampling, particularly arising in mathematical geosciences. Although the book often refers to original contributions, the authors made them accessible to (graduate) students and scientists not only from mathematics but also from geosciences and geoengineering. Building a library of topics in spherical sampling theory it shows how advances in this theory lead to new discoveries in mathematical, geodetic, geophysical as well as other scientific branches like neuro-medicine. A must-to-read for everybody working in the area of spherical sampling.-- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 8, 2018).
Added Author
Nashed, M. Zuhair, author.
Schreiner, M. (Michael), author.
Series
Geosystems mathematics.
Available in Other Form
Print version: 9783319714578
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Preliminaries
Function Systems
Shannon Sampling Variants
Bandlimited Sampling
Spline Sampling
Bandlimited Fourier Expansion Sampling
Spacelimited Multi-Scale Approximate Identity Sampling
Spacelimited Multi-Resolution Up-Function Sampling
Spacelimited Multi-Scale Regularized Green Function Sampling
Non-Spacelimited Wavelet Sampling
Inverse Wavelet Sampling
Conclusion
Appendices.

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