Wavelet methods for pointwise regularity and local oscillations of functions Stéphane Jaffard, Yves Meyer. Memoirs of the American Mathematical Society 587.

Jaffard, Stéphane:

ISBN 10: 0821804758 / ISBN 13: 9780821804759

Published by Providence, American Mathematical Society, 1996

About this Item

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 26 JAF 9780821804759 Sprache: Englisch Gewicht in Gramm: 250.

Seller Inventory # 2505609

Bibliographic Details

• Title: Wavelet methods for pointwise regularity and local oscillations of functions Stéphane Jaffard, Yves Meyer. Memoirs of the American Mathematical Society 587.
• Publisher: Providence, American Mathematical Society
• Publication Date: 1996
• Language: English
• ISBN 10: 0821804758
• ISBN 13: 9780821804759
• Binding: Hardcover
• Weight: 250 grams
• Seller catalogs:
  • SA MATHEMATIK

About this title

Synopsis

Currently, new trends in mathematics are emerging from the fruitful interaction between signal processing, image processing, and classical analysis.

One example is given by "wavelets", which incorporate both the know-how of the Calderon-Zygmund school and the efficiency of some fast algorithms developed in signal processing (quadrature mirror filters and pyramidal algorithms.)

A second example is "multi-fractal analysis". The initial motivation was the study of fully developed turbulence and the introduction by Frisch and Parisi of the multi-fractal spectrum. Multi-fractal analysis provides a deeper insight into many classical functions in mathematics.

A third example---"chirps"---is studied in this book. Chirps are used in modern radar or sonar technology. Once given a precise mathematical definition, chirps constitute a powerful tool in classical analysis.

In this book, wavelet analysis is related to the 2-microlocal spaces discovered by J. M. Bony. The authors then prove that a wavelet based multi-fractal analysis leads to a remarkable improvement of Sobolev embedding theorem. In addition, they show that chirps were hidden in a celebrated Riemann series.

Features:

Provides the reader with some basic training in new lines of research.

Clarifies the relationship between pointwise behavior and size properties of wavelet coefficents.