Wavelets
Second Generation Wavelets and Applications (Repost) eBooks & eLearning
Posted by Specialselection at May 28, 2012
Maarten H. Jansen, Patrick J. Oonincx, "Second Generation Wavelets and Applications"
English | 2005-04-28 | ISBN: 1852339160 | 142 pages | DJVU | 1.3 mb
English | 2005-04-28 | ISBN: 1852339160 | 142 pages | DJVU | 1.3 mb
Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing eBooks & eLearning
Posted by arundhati at June 4, 2014
S. Allen Broughton, Kurt M. Bryan, "Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing"
2009 | ISBN-10: 0470294663 | 360 pages | PDF | 6 MB
2009 | ISBN-10: 0470294663 | 360 pages | PDF | 6 MB
A First Course on Wavelets [Repost] eBooks & eLearning
Posted by Free butterfly at Feb. 22, 2016
![A First Course on Wavelets [Repost]](https://pixhost.icu/avaxhome/42/cb/0026cb42_medium.jpeg)
A First Course on Wavelets (Studies in Advanced Mathematics) by Eugenio Hernandez
English | 12 Sept. 1996 | ISBN: 0849382742 | 489 Pages | PDF | 5 MB
English | 12 Sept. 1996 | ISBN: 0849382742 | 489 Pages | PDF | 5 MB
Wavelet theory had its origin in quantum field theory, signal analysis, and function space theory. In these areas wavelet-like algorithms replace the classical Fourier-type expansion of a function. This unique new book is an excellent introduction to the basic properties of wavelets, from background math to powerful applications.
Second Generation Wavelets and Applications eBooks & eLearning
Posted by Free butterfly at April 26, 2016
Second Generation Wavelets and Applications by Maarten H. Jansen
English | Apr. 28, 2005 | ISBN: 1852339160 | 142 Pages | PDF | 3 MB
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.
Wavelets, Frames and Operator Theory eBooks & eLearning
Posted by insetes at April 25, 2022
Wavelets, Frames and Operator Theory By Christopher Heil, Palle E. T. Jorgensen, David R. Larson (ed.)
2004 | 358 Pages | ISBN: 0821833804 | DJVU | 3 MB
2004 | 358 Pages | ISBN: 0821833804 | DJVU | 3 MB
Radon Transforms, Geometry, and Wavelets: Ams Special Session January 7-8, 2007, New Orleans, Louisiana Workshop January 4-5, 2 eBooks & eLearning
Posted by insetes at April 21, 2022
Radon Transforms, Geometry, and Wavelets: Ams Special Session January 7-8, 2007, New Orleans, Louisiana Workshop January 4-5, 2007 Baton Rouge, Louisiana By Gestur Olafsson, Eric L. Grinberg, David Larson, Palle E. T. Jorgensen, Peter R. Massopust (ed.)
2008 | 282 Pages | ISBN: 0821843273 | DJVU | 4 MB
2008 | 282 Pages | ISBN: 0821843273 | DJVU | 4 MB
Digital Signal Processing Using Matlab And Wavelets eBooks & eLearning
Posted by ChrisRedfield at Oct. 23, 2014
Michael Weeks - Digital Signal Processing Using Matlab And Wavelets
Published: 2006-10-15 | ISBN: 0977858200, 8131800806 | PDF | 452 pages | 3 MB
Wavelets in Neuroscience eBooks & eLearning
Posted by arundhati at Nov. 11, 2014
Alexander E. Hramov, Alexey A. Koronovskii, "Wavelets in Neuroscience"
2015 | ISBN-10: 3662438496 | 318 pages | PDF | 13 MB
2015 | ISBN-10: 3662438496 | 318 pages | PDF | 13 MB
Analysis and Probability: Wavelets, Signals, Fractals eBooks & eLearning
Posted by ChrisRedfield at Nov. 13, 2014
Palle E. T. Jorgensen - Analysis and Probability: Wavelets, Signals, Fractals
Published: 2006-09-19 | ISBN: 0387295194, 1441921265 | PDF + DJVU | 280 pages | 15 MB
Statistical Modeling by Wavelets by Brani Vidakovic [Repost] eBooks & eLearning
Posted by Free butterfly at Jan. 23, 2015
![Statistical Modeling by Wavelets by Brani Vidakovic [Repost]](https://pixhost.icu/avaxhome/86/55/00325586_medium.jpeg)
Statistical Modeling by Wavelets by Brani Vidakovic
English | May 3, 1999 | ISBN: 0471293652 | 389 Pages | PDF | 65 MB
English | May 3, 1999 | ISBN: 0471293652 | 389 Pages | PDF | 65 MB
A comprehensive, step-by-step introduction to wavelets in statistics. What are wavelets? What makes them increasingly indispensable in statistical nonparametrics? Why are they suitable for "time-scale" applications? How are they used to solve such problems as denoising, regression, or density estimation?