This book PDF is perfect for those who love Mathematics genre, written by Ingrid Daubechies and published by Cambridge University Press which was released on 01 June 1992 with total hardcover pages 392. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Ten Lectures on Wavelets books below.
| Author | : Ingrid Daubechies |
| File Size | : 45,6 Mb |
| Publisher | : Cambridge University Press |
| Language | : English |
| Release Date | : 01 June 1992 |
| ISBN | : 0898712742 |
| Pages | : 392 pages |
Mathematics of Computing -- Miscellaneous.
Wavelets are a mathematical development that may revolutionize the world of information storage and retrieval according to many experts. They are a fairly simple mathematical tool now being applied to the compression of data--such as fingerprints, weather satellite photographs, and medical x-rays--that were previously thought to be impossible to condense
Get BookThis book traces the prehistory and initial development of wavelet theory, a discipline that has had a profound impact on mathematics, physics, and engineering. Interchanges between these fields during the last fifteen years have led to a number of advances in applications such as image compression, turbulence, machine vision, radar,
Get BookThis volume is designed as a textbook for an introductory course on wavelet analysis and time-frequency analysis aimed at graduate students or advanced undergraduates in science and engineering. It can also be used as a self-study or reference book by practicing researchers in signal analysis and related areas. Since the
Get BookWavelet Analysis and its Applications, Volume 1: An Introduction to Wavelets provides an introductory treatise on wavelet analysis with an emphasis on spline-wavelets and time-frequency analysis. This book is divided into seven chapters. Chapter 1 presents a brief overview of the subject, including classification of wavelets, integral wavelet transform for time-frequency analysis,
Get BookDespite its short history, wavelet theory has found applications in a remarkable diversity of disciplines: mathematics, physics, numerical analysis, signal processing, probability theory and statistics. The abundance of intriguing and useful features enjoyed by wavelet and wavelet packed transforms has led to their application to a wide range of statistical
Get BookA comprehensive treatment of wavelets for both engineers and mathematicians.
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