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         Wavelets:     more books (100)
  1. Wavelets: Applications in Signal and Image Processing X : Proceedings of Spie 4-8 August 2003 San Diego, California, USA (Proceedings of Spie Volume 5207)
  2. Fourier and Wavelet Analysis (Universitext) by George Bachmann, Lawrence Narici, et all 2002-04-05
  3. Wavelets and Subband Coding (Prentice Hall Signal Processing Series) by Martin Vetterli, Jelena Kovacevic, 1995-04-21
  4. A First Course on Wavelets (Studies in Advanced Mathematics)
  5. Computational Signal Processing with Wavelets (Applied and Numerical Harmonic Analysis) by Anthony Teolis, 1998-05-15
  6. Wavelets through a Looking Glass (Applied and Numerical Harmonic Analysis) by Ola Bratteli, Palle Jorgensen, 2002-07-12
  7. Wavelets: A Primer by Christian Blatter, 2002-10
  8. Introduction to Time-Frequency and Wavelet Transforms by Shie Qian, 2001-12-01
  9. Introduction to Random Vibrations, Spectral and Wavelet Analysis (3rd Edition) by D.E. Newland, 1996-02-19
  10. Applied Wavelet Analysis with S-PLUS by Andrew Bruce, Hong-Ye Gao, 1996-06-20
  11. Fundamentals of Wavelets: Theory, Algorithms, and Applications (Wiley Series in Microwave and Optical Engineering) by Jaideva C. Goswami, Andrew K. Chan, 1999-02-16
  12. Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods by Tony Chan, Jianhong Shen, 2005-09-19
  13. Wavelets for Computer Graphics (The Morgan Kaufmann Series in Computer Graphics) by Eric J. Stollnitz, Anthony D. DeRose, et all 1996-01-15
  14. Wavelets: A Tutorial in Theory and Applications (Wavelet Analysis and Its Applications, Vol 2)

41. John Daugman's Webpage, Cambridge University, Computer Laboratory, Cambridge UK.
University of Cambridge Neuroscience, statistical pattern recognition, wavelets, computer vision.

Tel: +44 1223 334501
Fax: +44 1223 334678
Johann Bernoulli Professor,
Institute of Mathematics and Informatics,
University of Groningen Webpage for JOHN DAUGMAN, OBE
Lecture courses:
Research interests:
    Computer vision, statistical pattern recognition, neural computing, wavelet theory.
Some recent publications:
  • 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
Wavelets: Software and Applications
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.
Members of the Jury
  • Prof. Dr. ir. R. Govaerts, chairman
  • Prof. Dr. ir. D. Roose, supervisor
  • Prof. Dr. A. Bultheel, supervisor
  • Prof. Dr. ir. B. De Moor
  • Prof. Dr. ir. R. Cools
  • Prof. Dr. J.-P. Antoine (
Thesis Text
You can download gzipped PostScript files of the thesis text:

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.
7th to 12th January, 2002 new Topics and Lecture Notes Links and Resources Speakers Registration new Time Table Co-ordination Committee How to Reach Advisory Committee -: Organized By :-
Department of Applied Mathematics
The M.S. University of Baroda.

Vadodara. -: E - mail :-
-: Supported By :-
UGC Unassigned Grant

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.
Wavelets in Computer Graphics
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
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 The summary for this Korean page contains characters that cannot be correctly displayed in this language/character set.
A n I ntroduction to W avelets
Keywords: Wavelets, Signal Processing Algorithms, Orthogonal Basis Functions, Wavelet Applications
  • Overview
  • Historical Perspective
  • Sidebar- What are Basis Functions?
  • Fourier Analysis ...
  • Wavelet Analysis
  • Wavelet Applications
  • 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.

    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.
    Gerald Kaiser
    Center for Signals and Waves

    3803 Tonkawa Trail #2, Austin, TX, USA
    email: kaiser(at)wavelets(dot)com
    Born: Poland, 1940
    Citizenship: US
    Languages: English, German, Polish, Portuguese, French, Hebrew
    PhD (Mathematics) 1977, U Toronto
    Thesis: Phase-Space Approach to Relativistic Quantum Mechanics
    PhD (Physics) 1970, U Wisconsin-Madison
    Thesis: Application of Continuous-Moment Sum Rules
    BS (Mathematics) 1962, Case Institute of Technology
    1977-1997: Professor of Mathematical Sciences, UMass Since 1998: Head, Center for Signals and Waves Since 1999: Editor (with Anne Boutet de Monvel), Progress in Mathematical Physics Book Series
    Research interests
    • Harmonic analysis, potential theory, PDE, wavelets
    • Real and complex geometry, Clifford analysis
    • Electromagnetics, optics, acoustics
    • Quantum physics, relativity, black holes
    • Efficient representations of waves and information
    • Physics-based signal and image processing
    • Radar, remote sensing, communication theory
    Membership in professional societies
    • American Mathematical Society
    • American Physical Society
    • International Association of Mathematical Physics
    Books published

    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).

    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.
    NSF Focused Research Group:
    Wavelets, Frames, and Operator Theory
    This FRG will enhance collaboration among the members by:
    • holding regular think-tank-style workshops, involving students and postdocs in those workshops, exchanging students for short visits among the Principal Investigators, forming project subgroups to attack specific problem areas.
    Contents A sample of the FRG research problems Project areas Participants Events ... Reports
    A sample of the FRG research problems:
    • 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
    TMR Network
    Reports Preparation
    European Summer School on Multiscale Approaches in the Numerical Simulation of Partial Differential Equations July 3-14, 2000 Valencia, Spain
    Silvia Bertoluzza

    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.

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    Go to the Mathematics home page A Friendly Guide to Wavelets
    G. Kaiser
    , The Virginia Center for Signals and Waves, Glen Allen, VA Price $49.95 320 pages 26 illus., hardcover ISBN: 0-8176-3711-7, published 1997 Extremely limited stock: Delivery likely to take longer than 3-4 weeks. EMAIL THIS PAGE TEXTBOOK APPROVAL RELATED WEBSITE AVAILABLE! (see below ABOUT THIS BOOK This volume consists of two parts. Chapters 1-8, Basic Wavelet Analysis, are aimed at graduate students or advanced undergraduates in science, engineering, and mathematics. They are designed for an introductory one-semester course on wavelets and time frequency analysis, and can also be used for self-study or reference by practicing researchers in signal analysis and related areas. The reader is not presumed to have a sophisticated mathematical background; therefore, much of the needed

    53. Wavelet Analysis; Significance Levels; Confidence Intervals;
    Code to accompany book by Christopher Torrence and Gilbert P. Compo.
    A Practical Guide to Wavelet Analysis,
    With significance and confidence testing Christopher Torrence
    Research Systems, Inc.
    Boulder, Colorado Gilbert P. Compo
    NOAA/CIRES Climate Diagnostics Center,
    Boulder, Colorado
  • ** Now written using ION **
  • Software for Fortran, IDL, and Matlab
  • Frequently Asked Questions (FAQ)
  • Article: ``A Practical Guide to Wavelet Analysis'', C. Torrence and G. P. Compo, 1998. Permission to place a copy of this work on this server has been provided by the American Meteorological Society . The AMS does not guarantee that the copy provided here is an accurate copy of the published work.
  • Wavelet Coherency and Phase Featured in:
  • 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.
    by Gilbert Strang and Truong Nguyen

    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;
    Non-Seismic Wavelet Transforms
    Wavelet Experts Home Pages
    Wavelet Servers
    Books, Tutorials, Articles, etc.
    Back to Home

    56. [72] What Is Wavelet Theory?
    Compression applications including some code samples.
    Single Page
    Top Document: comp.compression Frequently Asked Questions (part 2/3)
    Previous Document: [71] Introduction to MPEG (long)
    Next Document: [73] What is the theoretical compression limit?
    Usenet FAQs
    Search Web FAQs ... RFC Index
    [72] What is wavelet theory?
    Preprints and software are available by anonymous ftp from the Yale Mathematics Department computer 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 Bill Press of Harvard/CfA has made some things available on 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

    57. Index Of /wavelets
    Parent Directory 22Nov-2002 1234 - 31-Oct-1995 08......Index of /wavelets. Name Last modified Size
    Index of /wavelets
    Name Last modified Size Description ... Parent Directory 22-Nov-2002 12:34 - 31-Oct-1995 08:33 197k 31-Oct-1995 08:33 207k Daubechies.m.Z 31-Oct-1995 08:34 1k 31-Oct-1995 08:33 98k 31-Oct-1995 08:34 1.5M 31-Oct-1995 08:33 155k 31-Oct-1995 08:33 174k 31-Oct-1995 08:33 73k 31-Oct-1995 08:33 127k 31-Oct-1995 08:33 135k Meyer.m.Z 31-Oct-1995 08:33 3k 31-Oct-1995 08:34 67k 31-Oct-1995 08:33 423k 31-Oct-1995 08:33 432k 31-Oct-1995 08:33 150k 31-Oct-1995 08:33 215k 31-Oct-1995 08:33 226k Schauder.m.Z 31-Oct-1995 08:34 3k 31-Oct-1995 08:34 65k

    58. Information Theory Research Group
    Universal algorithms, multiresolution methods, wavelets and fractals, ratedistortion theory, and quantizer theory.
    Information Theory Research Group

    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.
    site map contact support search: 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. We apologize for any inconvenience this may cause.
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    60. The Community: Wavelets, Signals, Images, Video
    A friendly posting board on wavelets.
    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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