
Spherical Sampling
Birkhäuser (Publisher)
Published on 4. January 2019
Book
Paperback/Softback
612 pages
978-3-030-10060-5 (ISBN)
Description
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.
More details
Product info
Paperback
Series
Edition
Softcover reprint of the original 1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
XV, 596 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 33 mm
Weight
914 gr
ISBN-13
978-3-030-10060-5 (9783030100605)
DOI
10.1007/978-3-319-71458-5
Schweitzer Classification
Other editions
Additional editions

Willi Freeden | M. Zuhair Nashed | Michael Schreiner
Spherical Sampling
Book
05/2018
Birkhäuser
€85.59
Shipment within 10-15 days
Persons
Willi Freeden is Professor of Geomathematics at the Technical University of Kaiserslautern, Germany
Zuhair Nahed is Professor at the University of Central Florida, Orlando, USA
Michael Schreiner is Professor at the NTB of Buchs, St. Gallen
Zuhair Nahed is Professor at the University of Central Florida, Orlando, USA
Michael Schreiner is Professor at the NTB of Buchs, St. Gallen
Content
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.