Posted by **fdts** at Dec. 4, 2016

by Gilbert Strang, Truong Nguyen

English | 1996 | ISBN: 0961408871 | 520 pages | DJVU | 7.42 MB

Posted by **arundhati** at Aug. 25, 2016

Posted by **ramesh123** at Nov. 9, 2009

Springer | ISBN 3540234330 | 2005 Year | PDF | 2,27 Mb | 150 Pages

The wavelets transform is a mathematical technique in the field of image compression and digital signal analysis. The author aims at providing the reader with a working understanding of wavelets. In numerous examples, he discusses the potentials and limits of the tool in industrial applications. The book is completed by the author`s own Matlab codes. It is very well suited for electrical engineering students and engineers in industry.

Posted by **melia** at Jan. 17, 2017

Posted by **hill0** at Jan. 15, 2017

English | 14 Oct. 2013 | ISBN: 9462390088 | 576 Pages | PDF | 6.01 MB

This textbook, apart from introducing the basic aspects of applied mathematics, focuses on recent topics such as information data manipulation, information coding, data approximation, data dimensionality reduction, data compression, time-frequency and time scale bases, image manipulation, and image noise removal.

Posted by **arundhati** at Dec. 19, 2016

1997 | ISBN-10: 0471967920 | 342 pages | PDF | 25 MB

Posted by **fdts** at Dec. 5, 2016

by James S. Walker

English | 2008 | ISBN: 1584887451 | 300 pages | PDF | 15.96 MB

Posted by **fdts** at Dec. 1, 2016

by Gerald Kaiser

English | 1994 | ISBN: 0817637117 | 324 pages | PDF | 16.27 MB

Posted by **tanas.olesya** at July 9, 2016

English | 30 Apr. 1998 | ISBN: 0387984534 | 275 Pages | PDF | 13 MB

The mathematical theory of wavelets was developed by Yes Meyer and many collaborators about ten years ago. It was designed for approximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, and image and signal processing.

Posted by **tanas.olesya** at April 26, 2016

English | Apr. 28, 2005 | ISBN: 1852339160 | 142 Pages | PDF | 3 MB

Second Generation Wavelets and Applications introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics.