| Interpolation, Identification, and Sampling Contributor(s): Partington, Jonathan R. (Author) |
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ISBN: 0198500246 ISBN-13: 9780198500247 Publisher: Clarendon Press OUR PRICE: $228.00 Product Type: Hardcover Published: October 1997 Annotation: This book applies functional analysis and complex analysis to problems of interpolation in spaces of analytic functions. It examines problems of recovery--producing approximations to functions from measured values. These values may in turn be corrupted by small errors; the book discusses methods for producing good models using this partial and inaccurate information. The practical applications include systems identification, signal processing, and sampling. The book provides mathematical introductions to many important areas of current research, including H( control theory, sampling and systems processing, and the theory of worst-case identification. This is the first formal treatment of worst-case identification, a field where the author is a leading authority, and the discussion includes much practical material on input design and identification algorithms. This material is appropriate for a graduate-level course on function spaces and the operators acting on them. |
| Additional Information |
| BISAC Categories: - Mathematics | Transformations - Mathematics | Mathematical Analysis - Mathematics | Functional Analysis |
| Dewey: 515.73 |
| LCCN: 97013157 |
| Physical Information: 0.69" H x 6.14" W x 9.21" (1.25 lbs) 280 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book applies functional analysis and complex analysis to problems of interpolation in spaces of analytic functions. It examines problems of recovery--producing approximations to functions from measured values. These values may in turn be corrupted by small errors; the book discusses methods for producing good models using this partial and inaccurate information. The practical applications include systems identification, signal processing, and sampling. The book provides mathematical introductions to many important areas of current research, including H( control theory, sampling and systems processing, and the theory of worst-case identification. This is the first formal treatment of worst-case identification, a field where the author is a leading authority, and the discussion includes much practical material on input design and identification algorithms. This material is appropriate for a graduate-level course on function spaces and the operators acting on them. |