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/

Tel: +44 1223 334501 Fax: +44 1223 334678 Email: John.Daugman@CL.cam.ac.uk Johann Bernoulli Professor, Institute of Mathematics and Informatics, University of Groningen Webpage for JOHN DAUGMAN, OBE Lecture courses: Continuous Mathematics Information Theory and Coding Neural Computing Computer Vision 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 http://www.cs.kuleuven.ac.be/~geert/PhD/

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 English abstract Dutch abstract Table of Contents 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

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 :- iwsc2002@yahoo.com -: 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. http://www.multires.caltech.edu/teaching/courses/waveletcourse/

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 http://www.c3.lanl.gov/~brislawn/FBI/FBI.html

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

A n I ntroduction to W avelets Abstract Keywords: Wavelets, Signal Processing Algorithms, Orthogonal Basis Functions, Wavelet Applications Contents: Overview Historical Perspective Sidebar- What are Basis Functions? Fourier Analysis ... Wavelet Analysis Wavelet Applications Computer and Human Vision FBI Fingerprint Compression Denoising Noisy Data Detecting Self-Similarity in a Time Series ... References Click HERE to download a gzipped, Postscript copy (compressed to 222 Kbytes, expands to 1.5Mbytes). Or click HERE to download a PDF version (360 Kbytes) The original version of this work appears in IEEE Computational Science and Engineering, Summer 1995, vol. 2, num. 2, published by the IEEE Computer Society, 10662 Los Vaqueros Circle, Los Alamitos, CA 90720, USA, TEL +1-714-821-8380, FAX +1-714-821-4010. Wavelet Resources Home Last Modified by Amara Graps on 12 May 2004.

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/

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 Employment: 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 A Friendly Guide to Wavelets,

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

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 http://www.ian.pv.cnr.it/~wavelet/

TMR Network WAVELETS AND MULTISCALE METHODS IN NUMERICAL ANALYSIS AND SIMULATION Reports Preparation European Summer School on Multiscale Approaches in the Numerical Simulation of Partial Differential Equations July 3-14, 2000 Valencia, Spain Participants Training Activities Research Activity Open Post Doctoral Positions ... Silvia Bertoluzza

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

FAQs cart add this title Search all books Title Author Series ISBN Keyword Choose a subject area Computer Science Engineering Life Sciences Mathematics Medicine Physics Statistics GO TO Journals Springer NY Princeton Architectural Press Copernicus ... Help/FAQ 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. http://paos.Colorado.EDU/research/wavelets/

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. Download: 1.6M Acrobat pdf file or 4.2M Postscript file 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. http://www-math.mit.edu/~gs/books/wfb.html

WAVELETS AND FILTER BANKS by Gilbert Strang and Truong Nguyen Table of Contents Guide to the Book Ordering Information ... Book review by Dr. Davis.

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

Non-Seismic Wavelet Transforms Wavelet Experts Home Pages Prof. Gregory Beylkin Prof. Norman Bleistein Prof. Ronald R. Coifman Prof. Charles Cui ... Prof. Ingrid Daubechies Your Link, Your Name Wavelet Servers The Wavelet NetCare The Wavelet Digest Amara's Wavelet Page Wavelet Sources ... The Wavelet Seismic Inversion Lab Books, Tutorials, Articles, etc. A Friendly Guide to Wavelets and related courses by Gerald Kaiser Image Compression LOCAL Foilset Compression Presentation for CPS600 Resolution Enhancement of Images Using Wavelet Transform Extrema Extrapolation ... Wavelet Transforms of Some Equations of Fluid Mechanics Software MR/1 Multiresolution software environment Version 1.0 for MS Windows and UNIX Systems Object-Oriented Toolkit for Scientific and Engineering Analysis Fast Wavelet Transform Code by Mac Cody Some Wavelet Software at U of S Carolina via Gopher ... Wavelet Packet Library in Seismic Unix by Tong Chen n-D Wavelet Transform Library in Seismic Unix by Zhaobo Meng Back to Home

56. [72] What Is Wavelet Theory? Compression applications including some code samples. http://www.faqs.org/faqs/compression-faq/part2/section-3.html

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 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 08......Index of /wavelets. Name Last modified Size http://timna.mines.edu/wavelets/

Index of /wavelets 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/

Information Theory Research Group Research Areas Courses Publications Presentations ... Contact Us

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

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. Home About Us Products News ... Webmaster

60. The Ondelette.com Community: Wavelets, Signals, Images, Video A friendly posting board on wavelets. http://www.ondelette.com/indexen.html

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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