Approximation Theory: From Taylor Polynomials to Wavelets: Applied and Numerical Harmonic Analysis
Autor Ole Christensen, Khadija Laghrida Christensenen Limba Engleză Paperback – 18 mar 2004
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Specificații
ISBN-13: 9780817636005
ISBN-10: 0817636005
Pagini: 156
Ilustrații: XI, 156 p. 5 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:2005
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Applied and Numerical Harmonic Analysis
Locul publicării:Boston, MA, United States
ISBN-10: 0817636005
Pagini: 156
Ilustrații: XI, 156 p. 5 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:2005
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Applied and Numerical Harmonic Analysis
Locul publicării:Boston, MA, United States
Public țintă
GraduateCuprins
1 Approximation with Polynomials.- 1.1 Approximation of a function on an interval.- 1.2 Weierstrass’ theorem.- 1.3 Taylor’s theorem.- 1.4 Exercises.- 2 Infinite Series.- 2.1 Infinite series of numbers.- 2.2 Estimating the sum of an infinite series.- 2.3 Geometric series.- 2.4 Power series.- 2.5 General infinite sums of functions.- 2.6 Uniform convergence.- 2.7 Signal transmission.- 2.8 Exercises.- 3 Fourier Analysis.- 3.1 Fourier series.- 3.2 Fourier’s theorem and approximation.- 3.3 Fourier series and signal analysis.- 3.4 Fourier series and Hilbert spaces.- 3.5 Fourier series in complex form.- 3.6 Parseval’s theorem.- 3.7 Regularity and decay of the Fourier coefficients.- 3.8 Best N-term approximation.- 3.9 The Fourier transform.- 3.10 Exercises.- 4 Wavelets and Applications.- 4.1 About wavelet systems.- 4.2 Wavelets and signal processing.- 4.3 Wavelets and fingerprints.- 4.4 Wavelet packets.- 4.5 Alternatives to wavelets: Gabor systems.- 4.6 Exercises.- 5 Wavelets and their Mathematical Properties.- 5.1 Wavelets and L2 (?).- 5.2 Multiresolution analysis.- 5.3 The role of the Fourier transform.- 5.4 The Haar wavelet.- 5.5 The role of compact support.- 5.6 Wavelets and singularities.- 5.7 Best N-term approximation.- 5.8 Frames.- 5.9 Gabor systems.- 5.10 Exercises.- Appendix A.- A.1 Definitions and notation.- A.2 Proof of Weierstrass’ theorem.- A.3 Proof of Taylor’s theorem.- A.4 Infinite series.- A.5 Proof of Theorem 3 7 2.- Appendix B.- B.1 Power series.- B.2 Fourier series for 2?-periodic functions.- List of Symbols.- References.
Recenzii
"Approximation methods and wavelets have found many important applications in signal processing. This well-written textbook provides an elementary introduction to approximation theory. The authors concentrate on the presentation of main ideas and demonstrate the great influence of classical approximation theory on modern applied mathematics. This book, with many illustrative examples, is easy to read…[and] will be very useful for anyone interested in approximation theory and wavelets." —Zentralblatt Math
Notă biografică
Ole Christensen is the author of An Introduction to Frames and Riesz Bases (0-8176-4295-1).
Textul de pe ultima copertă
This concisely written book gives an elementary introduction to a classical area of mathematics—approximation theory—in a way that naturally leads to the modern field of wavelets. The exposition, driven by ideas rather than technical details and proofs, demonstrates the dynamic nature of mathematics and the influence of classical disciplines on many areas of modern mathematics and applications.
Key features and topics:
* Description of wavelets in words rather than mathematical symbols
* Elementary introduction to approximation using polynomials (Weierstrass’ and Taylor’s theorems)
* Introduction to infinite series, with emphasis on approximation-theoretic aspects
* Introduction to Fourier analysis
* Numerous classical, illustrative examples and constructions
* Discussion of the role of wavelets in digital signal processing and data compression, such as the FBI’s use of wavelets to store fingerprints
* Minimal prerequisites: elementary calculus
* Exercises that may be used in undergraduate and graduate courses on infinite series and Fourier series
Approximation Theory: From Taylor Polynomials to Wavelets will be an excellent textbook or self-study reference for students and instructors in pure and applied mathematics, mathematical physics, and engineering. Readers will find motivation and background material pointing toward advanced literature and research topics in pure and applied harmonic analysis and related areas.
Key features and topics:
* Description of wavelets in words rather than mathematical symbols
* Elementary introduction to approximation using polynomials (Weierstrass’ and Taylor’s theorems)
* Introduction to infinite series, with emphasis on approximation-theoretic aspects
* Introduction to Fourier analysis
* Numerous classical, illustrative examples and constructions
* Discussion of the role of wavelets in digital signal processing and data compression, such as the FBI’s use of wavelets to store fingerprints
* Minimal prerequisites: elementary calculus
* Exercises that may be used in undergraduate and graduate courses on infinite series and Fourier series
Approximation Theory: From Taylor Polynomials to Wavelets will be an excellent textbook or self-study reference for students and instructors in pure and applied mathematics, mathematical physics, and engineering. Readers will find motivation and background material pointing toward advanced literature and research topics in pure and applied harmonic analysis and related areas.
Caracteristici
Concisely written, user-friendly book Demonstrates the dynamic nature of mathematics and the influence of classical disciplines on many areas of modern mathematics and applications Includes classical, illustrative examples and constructions, exercises, and a discussion of the role of wavelets to areas such as digital signal processing and data compression Includes supplementary material: sn.pub/extras