Overview
- Discusses, for the first time, wavelet analysis on local fields of positive characteristic
- Provides a proof of the existence and uniqueness of Haar measures on locally compact groups
- Focuses on multiresolution analysis and wavelets on a local field of positive characteristic
Part of the book series: Indian Statistical Institute Series (INSIS)
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Table of contents (8 chapters)
Keywords
About this book
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Authors and Affiliations
About the authors
QAISER JAHAN is Assistant Professor at the Indian Institute of Technology (IIT) Mandi, India. She received her M.Sc. degree in Mathematics from the University of Allahabad, India, in 2006, and her Ph.D. from the Indian Statistical Institute, Kolkata, in 2014. After her Ph.D., she worked as Visiting Scientist at ISI, Kolkata, and as Postdoctoral Fellow at IIT Kanpur for two years. After that, she joined the Indian Institute of Science (IISc), Bangalore, as Kothari Postdoctoral Fellow. She has visited a few institutes in abroad for research purposes like the University of Oregon, USA; Philipps University, Germany; and the Institute of Mathematics, the Polish Academy of Sciences. She was awarded the Indo-US WISTEMM fellowship. Her research area is harmonic analysis. In particular, she is working on wavelet analysis, local fields, coorbit spaces, shearlet coorbit spaces, etc. She has written eight research articles in international journals and one conference paper in SampTA 2019.
Bibliographic Information
Book Title: Wavelet Analysis on Local Fields of Positive Characteristic
Authors: Biswaranjan Behera, Qaiser Jahan
Series Title: Indian Statistical Institute Series
DOI: https://doi.org/10.1007/978-981-16-7881-3
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-7880-6Published: 18 December 2021
Softcover ISBN: 978-981-16-7883-7Published: 19 December 2022
eBook ISBN: 978-981-16-7881-3Published: 01 January 2022
Series ISSN: 2523-3114
Series E-ISSN: 2523-3122
Edition Number: 1
Number of Pages: XVII, 333
Topics: Abstract Harmonic Analysis, Fourier Analysis, Analysis