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We present three recent developments in wavelets and subdivision: wavelet-type transforms that map integers to integers, with an application to lossless coding for images; rate-distortion bounds that realize the compression given by nonlinear approximation theorems for a model where wavelet compression outperforms the Karhunen-Loeve approach; and smoothness results for irregularly spaced subdivision schemes, related to wavelet compression for irregularly spaced data.

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“We present three recent developments in wavelets and subdivi…” Ingrid Daubechies. Carolina Quotes, record CQ-66BE90A071. https://carolinaquotes.com/quote/66be90a071

More from Ingrid Daubechies

... In their mathematical aspect, wavelets are rooted in the use of dilations and convolutions in Calderón-Zygmund theory in harmonic analysis. ... Algorithmically, wavelets are related to subband filtering in electrical engineering. Subband filtering was developed from the 70-s on; exact reconstruction procedures were discovered in the early 80-s. These were obviously fast algorithms, meant as a front-end processing step before encoding or compressing information in various types of signals. A lot of effort went into optimizing the filters for various applications, and this subfield of electrical engineering is now quite mature. ... Another algorithmic ancestor of wavelets are the multiple algorithms in numerical analysis, closer to mathematics, but still ad hoc.
(1993) Preface. In: Daubechies, I. (ed.). Different Perspectives on Wavelets: American Mathematical Society Short Course, January 11–12, 1993, San Antonio, Texas. Proceedings of Symposia in Applied Mathematics, vol. 47. American Mathematical Society, Providence, Rhode Island. 2016 pbk reprint (quote from p. ix)
Mathematicians have various ways of judging the merits of new theorems and constructions. One very important criterion is esthetic — some developments just “feel” right, fitting, and beautiful. Just as in other venues where beauty or esthetics are discussed, taste plays an important role in this, but I think I am not alone in being especially excited when apparently different fields suddenly meet in a new concept, a new understanding. It is often of the sparks of such encounters that our esthetic enjoyment of mathematics is born. Another important criterion for according merit to some particular piece of mathematics is the extent to which it can be useful in applications; this is the criterion almost exclusively used by nonmathematicians.
(1995) Wavelets and Other Phase Space Localization Methods. In: Chatterji, S.D. (ed.). Proceedings of the International Congress of Mathematicians. Birkhäuser, Basel.

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