
Interpolation, Identification, and Sampling
$301.60
- Hardcover
280 pages
- Release Date
17 July 1997
Summary
This book is concerned with applications of functional analysis and complex analysis to problems of interpolation in spaces of analytic functions. The problems we look at are those of recovery, producing approximations to functions from measured values. These values may in turn be corrupted by small errors and we wish to be able to produce a good model using this partial and inaccurate information. The practical applications include systems identification, signalprocessing, and sampling. …
Book Details
ISBN-13: | 9780198500247 |
---|---|
ISBN-10: | 0198500246 |
Series: | London Mathematical Society Monographs |
Author: | Jonathan R. Partington |
Publisher: | Oxford University Press |
Imprint: | Oxford University Press |
Format: | Hardcover |
Number of Pages: | 280 |
Release Date: | 17 July 1997 |
Weight: | 557g |
Dimensions: | 242mm x 161mm x 19mm |
You Can Find This Book In
What They're Saying
Critics Review
`…the systems or signal processing engineer with some mathematical background will be delighted to find here all the mathematics he always wanted to learn, but did not know where to start. The material is presented in such a way that it is accessible for any application minded mathematician or theory inclined engineer from graduate level … the necessary concepts are introduced first, so that even the non-specialist will understand and appreciate theresults presented.‘Newsletter on Computational and Applied Mathematics, vol.14, nr.1, March 1998
About The Author
Jonathan R. Partington
Jonathan R. Partington is a professor of Applied Functional Analysis at Leeds University. He has served as editor of Journal of the London Mathematical Society and is coordinator of Leeds node in European Research Training network in Analysis and Operators. Author of some 100 papers in mathematics and engineering, he is also the author of An Introduction to Hankel Operators and Interpolation, Identification and Sampling.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.