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Wavelets:     more books (100)

Adapted Wavelet Analysis: From Theory to Software by Mladen Victor Wickerhauser, 1996-04-17 Wavelets & Signal Processing An Introduction to Wavelets, Volume 1 (Wavelet Analysis and Its Applications) by Charles K. Chui, 1992-01-17 Wavelets: A Primer by Christian Blatter, 2002-11-06 Wavelet Transforms: Introduction to Theory & Applications by Raghuveer M. Rao, Ajit S. Bopardikar, 1998-09 Introduction to Time-Frequency and Wavelet Transforms by Shie Qian, 2001-12-01 Digital Signal Processing Using MATLAB & Wavelets, Second Edition by Michael Weeks, 2010-03-12 Signal Analysis: Wavelets, Filter Banks, Time-Frequency Transforms and Applications by Alfred Mertins, 1999-02-24 Wavelets and their Applications by Mary Beth Ruskai, 1992-01-10 Wavelets Mathematics and Applications (Studies in Advanced Mathematics) Wavelets and Other Orthogonal Systems, Second Edition (Studies in Advanced Mathematics) by Gilbert G. Walter, Xiaoping Shen, 2000-12-20 A First Course on Wavelets (Studies in Advanced Mathematics) Analysis and Probability: Wavelets, Signals, Fractals (Graduate Texts in Mathematics) by Palle E. T. Jorgensen, 2010-11-02 Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods by Tony Chan, Jianhong Shen, 2005-09-19

lists with details

41. John Daugman's Webpage, Cambridge University, Computer Laboratory, Cambridge UK.
    University of Cambridge Neuroscience, statistical pattern recognition, wavelets, computer vision.  
    http://www.cl.cam.ac.uk/users/jgd1000/
    
    Extractions: University of Groningen Webpage for JOHN DAUGMAN, OBE Daugman J (2003) "Demodulation by complex-valued wavelets for stochastic pattern recognition." Int'l Journal of Wavelets, Multi-resolution and Information Processing, vol. 1, no. 1, pp 1-17. Available in .pdf preprint form here Daugman J (2003) "The importance of being random: Statistical principles of iris recognition." Pattern Recognition, vol. 36, no. 2, pp 279-291. Available in .pdf preprint form here Daugman J (2002) "Gabor wavelets and statistical pattern recognition." The Handbook of Brain Theory and Neural Networks, 2nd ed., MIT Press (M. Arbib, editor), pp 457-463. Daugman J (2001) "Statistical richness of visual phase information."

42. Wavelets: Software And Applications
    wavelets Software and Applications. This Ph.D. thesis was presented to obtain the degree of Doctor in de Toegepaste Wetenschappen  
    http://www.cs.kuleuven.ac.be/~geert/PhD/
    
    Extractions: This Ph.D. thesis was presented to obtain the degree of Doctor in de Toegepaste Wetenschappen [Doctor in Engineering] from the Faculty of Engineering of the Katholieke Universiteit Leuven . It was defended in the Arenbergkasteel in Heverlee on Wednesday April 28, 1999. You can download gzipped PostScript files of the thesis text: The whole text (195 pages, 2.1 MB) Separate chapters: Coverpage, Abstract, and Preface (8 pages, 22 KB) Nederlandse Samenvatting (32 pages, 62 KB) Table of Contents, Notations and Abbreviations, Lists of Figures and Tables (12 pages, 17 KB) Chapter 1: Introduction (4 pages, 12 KB) Chapter 2: Wavelets (14 pages, 42 KB) Chapter 3: The Lifting Scheme (20 pages, 56 KB) Chapter 4: Wavelet-Based Image Processing (14 pages, 369 KB) Chapter 5: Design of the Software Library WAILI (16 pages, 42 KB)

43. Welecome To IWSC 2002
    Instructional workshop on Fuzzy Systems, Artificial Neural Network, Genetic Algorithms, wavelets, Image Processing. Department of Applied Mathematics, Maharaja Sayajirao University of Baroda, Kalabhavan, Vadodara; 712 January 2002.  
    http://www.geocities.com/iwsc2002

44. 1996 SIGGRAPH Wavelets In Computer Graphics Course
    wavelets in Computer Graphics. More recently, his work has been concerned with the application of wavelets to computer graphics.  
    http://www.multires.caltech.edu/teaching/courses/waveletcourse/
    
    Extractions: Multiresolution techniques and the use of hierarchy have a long history in computer graphics. Most recently these approaches have received a significant boost and increased interest through the introduction of the mathematical framework of wavelets . With their roots in signal processing and harmonic analysis, wavelets have lead to a number of efficient and easy to implement algorithms. Wavelets have already had a major impact in several areas of computer graphics: Image Compression and Processing: some of the most powerful compression techniques for still and moving images are based on wavelet transforms; Global Illumination: wavelet radiosity and radiance algorithms are asymptotically faster than other finite element techniques; Hierarchical Modeling: using multiresolution representations for curves and surfaces accelerates and simplifies many common editing tasks; Animation: the large constrained optimization tasks which arise in physically based modeling and animation subject to goal constraints can be solved faster and more robustly with wavelets; Volume Rendering and Processing: wavelets can greatly facilitate dealing with huge data sets since they can be used for compression as well as feature detection and enhancement;

45. The FBI Fingerprint Image Compression Standard
    (uses wavelets) Chris Brislawn home page  
    http://www.c3.lanl.gov/~brislawn/FBI/FBI.html
    
    Extractions: Chris Brislawn's home page. The FBI Fingerprint Image Compression Standard This page contains a summary of the Federal Bureau of Investigation's image coding standard for digitized fingerprints, developed and maintained by the FBI, Los Alamos National Lab, and the National Institute for Standards and Technology. The standard is a discrete wavelet transform-based algorithm referred to as Wavelet/Scalar Quantization (WSQ). Summary and Examples: The goal of this project is to design and implement a national standard for coding and compression of digitized fingerprint images. The FBI is digitizing the nation's fingerprint database at 500 dots per inch with 8 bits of grayscale resolution. At this rate, a single fingerprint card turns into about 10 MB of data! Here's a sample fingerprint image measuring 768 x 768 pixels (= 589,824 bytes): ``Big deal,'' I hear you saying, ``I've got a gigabyte disk on my computer!'' Yes, but the FBI has been collecting fingerprint cards since 1924, and because (like most of us) they find it hard to throw things out, over the past 70 years their collection has grown to over 200 million cards occupying an acre of filing cabinets in the J. Edgar Hoover building back in Washington. (No; they don't have the entire U.S. population in their files, just lots of ``repeat customers.'') This includes some 29 million records they examine each time they're asked to ``round up the usual suspects.'' Your gigabyte drive starts to look pretty puny when faced with 2,000 terabytes' worth of images. And to make matters worse, fingerprint data continues to accumulate at a rate of 30,000-50,000 new cards PER DAY, which makes for a serious traffic jam on the Information Superhighway. (Go ahead; compute the time required to send a 10 MB card over the 9600 baud modem they're still using in Mayberry RFD. Hint: with a 20% communications overhead reducing the data rate to 7680 bits/second, it'll take just under 3 hours!)

46. An Introduction To Wavelets
    wavelets.org The summary for this Korean page contains characters that cannot be correctly displayed in this language/character set.  
    http://agraps.best.vwh.net/IEEEwave/IEEEwavelet.html

47. Prof. Dr. Alexander Keller
    Papers about Monte Carlo and quasiMonte Carlo methods, highly uniform point sets, particle methods for transport equations and wavelets and the lifting scheme.  
    http://graphics.uni-ulm.de/

48. Gerald Kaiser
    Short courses by Gerald Kaiser based on his book A Friendly Guide to wavelets, with applications to signal and image compression, lossless coding, and radar.  
    http://www.wavelets.com/

49. Artificial Intelligence Group
    Forschungsschwerpunkte Mustererkennung, Adaptive Algorithmen, Neuronale Netze, Genetische Algorithmen, Evolutionsstrategien, wavelets, Bildpyramiden, Interpretation von Bildern, Schrifterkennung, Sprachverarbeitung, Spracherkennung, Informationsverarbeitung in biologischen Systemen, Signalketten in lebenden Systemen (Graduiertenkolleg), Robotik, speziell Roboterfussball (RoboCup) und Multiagentensysteme (Fahrerlose Transportsysteme).  
    http://www.inf.fu-berlin.de/inst/ag-ki/ger/

50. FRG: Collaborative Research: Focused Research On Wavelets, Frames, And Operator
    An NSFFRG (Focused Research Group). A. Aldroubi, L. Baggett, J. Benedetto, C. Heil, (site host) P. Jorgensen, D. Larson, G. Olafsson, and Y. Wang. Workshops, special sessions, joint research.  
    http://www.math.uiowa.edu/~jorgen/waveletFRG.html
    
    Extractions: NSF Focused Research Group: Definition: A subset is said to be a wavelet set for an expansive integral matrix if the inverse Fourier transform of is a wavelet, i.e., if the double indexed family , is an orthonormal basis for . (This is equivalent to tiling both under the translations and the scalings Problem A: Wavelet set implementation. Because of the structure of wavelet sets, their explicit constructions, and the potential usefulness of dealing with only one wavelet in higher dimensions, there are two immediate and natural problems. We wish to develop recursive programmable schemes for applications, cf. [BT93, Stro00a, Wic94], as well as a theoretical formulation in terms of frames, cf. [HL00, Han97]. This latter approach would sacrifice orthonormality, which is often not a sacrifice in applications dealing with noise reduction and stable representation. On the other hand, the frame theoretic approach would reduce the recursive complexity, it would add smoothness in the spectral domain, and it would provide an iterative method of signal reconstruction. Related to this whole issue is the necessity of a critical comparison of the geometrical constructions in [BS01] and the theoretical but constructive approach in [BMM99] in terms of multiplicity functions and finite von Neumann algebras.

51. TMR Network On Wavelets In Numerical Simulation
    TMR Network wavelets AND MULTISCALE METHODS IN NUMERICAL ANALYSIS AND SIMULATION. Reports Preparation. European Summer School on Multiscale  
    http://www.ian.pv.cnr.it/~wavelet/

52. Www.birkhauser.com/cgi-win/ISBN/0-8176-3711-7
    wavelets X Conferences - SPIE Annual Meeting 2003 - Calls for wavelets X. Conferences. Conference 5207 Conv. Ctr. SESSION 10. Conv. Ctr. Room 6F Thurs. 1120 am to 1220 pm. Complex wavelets. Chair Jean-Marc Lina, Univ.  
    http://www.birkhauser.com/cgi-win/ISBN/0-8176-3711-7

53. Wavelet Analysis; Significance Levels; Confidence Intervals;
    Code to accompany book by Christopher Torrence and Gilbert P. Compo.  
    http://paos.Colorado.EDU/research/wavelets/

54. Wavelets And Filter Banks
    wavelets AND FILTER BANKS. by Gilbert Strang and Truong Nguyen (1996). Homepage for the Book. Course 18.327 (wavelets and Filter Banks) Home Page.  
    http://www-math.mit.edu/~gs/books/wfb.html

55. Non-Seismic Wavelet Transforms
    Blue Devil s wavelets; The Wavelet Seismic Inversion Lab. A Friendly Guide to wavelets and related courses by Gerald Kaiser; Image Compression;  
    http://timna.mines.edu/~zmeng/wavelet/wavelet.html

56. [72] What Is Wavelet Theory?
    Compression applications including some code samples.  
    http://www.faqs.org/faqs/compression-faq/part2/section-3.html
    
    Extractions: Usenet FAQs Search Web FAQs ... RFC Index Preprints and software are available by anonymous ftp from the Yale Mathematics Department computer ftp://ceres.math.yale.edu/pub/wavelets/ and /pub/software/ . For source code of several wavelet coders, see item 15 in part one of this FAQ. A list of pointers, covering theory, papers, books, implementations, resources and more can be found at http://www.amara.com/current/wavelet.html#Wavelinks Bill Press of Harvard/CfA has made some things available on ftp://cfata4.harvard.edu/pub/ There is a short TeX article on wavelet theory (wavelet.tex, to be included in a future edition of Numerical Recipes), some sample wavelet code (wavelet.f, in FORTRAN - sigh), and a beta version of an astronomical image compression program which he is currently developing (FITS format data files only, in fitspress08.tar.Z). The Rice Wavelet Toolbox Release 2.0 is available in ftp://cml.rice.edu/pub/dsp/software/

57. Index Of /wavelets
    Parent Directory 22Nov-2002 1234 - Daubechies.300dpi.ps.Z 31-Oct-1995 08Index of /wavelets. Name Last modified Size  
    http://timna.mines.edu/wavelets/
    
    Extractions: Name Last modified Size Description ... Parent Directory 22-Nov-2002 12:34 - Daubechies.300dpi.ps.Z 31-Oct-1995 08:33 197k Daubechies.400dpi.ps.Z 31-Oct-1995 08:33 207k Daubechies.m.Z 31-Oct-1995 08:34 1k Daubechies.ma.Z 31-Oct-1995 08:33 98k Fund.ps.Z 31-Oct-1995 08:34 1.5M Malvar.300dpi.ps.Z 31-Oct-1995 08:33 155k Malvar.400dpi.ps.Z 31-Oct-1995 08:33 174k Malvar.ma.Z 31-Oct-1995 08:33 73k Meyer.300dpi.ps.Z 31-Oct-1995 08:33 127k Meyer.400dpi.ps.Z 31-Oct-1995 08:33 135k Meyer.m.Z 31-Oct-1995 08:33 3k Meyer.ma.Z 31-Oct-1995 08:34 67k PacketFeet.300dpi.ps.Z 31-Oct-1995 08:33 423k PacketFeet.400dpi.ps.Z 31-Oct-1995 08:33 432k PacketFeet.ma.Z 31-Oct-1995 08:33 150k Schauder.300dpi.ps.Z 31-Oct-1995 08:33 215k Schauder.400dpi.ps.Z 31-Oct-1995 08:33 226k Schauder.m.Z 31-Oct-1995 08:34 3k Schauder.ma.Z 31-Oct-1995 08:34 65k ShortDip.ps.Z

58. Information Theory Research Group
    Universal algorithms, multiresolution methods, wavelets and fractals, ratedistortion theory, and quantizer theory.  
    http://www.ee.umn.edu/users/kieffer/

59. Summus : Page Moved In Redesgin
    You have reached a page that has been moved in the redesign of our site. You will be redirected to our new homepage automatically in 10 seconds.  
    http://www.summus.com/wavelets.htm

60. The Ondelette.com Community: Wavelets, Signals, Images, Video
    A friendly posting board on wavelets.  
    http://www.ondelette.com/indexen.html
    
    Extractions: Technology is increasingly driven by algorithms. In recent years, wavelets have been one such example were a simple algorithm, easy to implement, has lead to a wealth of applications from image compression to non parametric de-noising (wavelet shrinkage). Going back in time, we find many such powerful algorithms in Approximation Theory. From splines all the way to Dubuc's iterative interpolation and the more recent work on subdivision schemes and à trous algorithms. This site is a friendly posting board for approximation theory, wavelets, and signal processing. wavelet forum forum sur les ondelettes

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