41. Wavelets In Java wavelets in Java. This web page publishes the Java source code and Javadoc wavelets are a technique, like Fourier analysis, for analyzing signals. http://www.bearcave.com/software/java/wavelets/

Wavelets in Java This web page publishes the Java source code and Javadoc generated documentation for wavelets. Wavelets are a technique, like Fourier analysis, for analyzing signals. They are also used for data compression, comparision and a variety of other applications. I am not a member of the Java cult. Java does not change everything. Java is just a programming language and in many cases, because it is interpreted, a slow one at that. I implemented the wavelet code in Java because I wanted to keep my Java "chops up". I use C++ at work and implement a lot of my own software in C++, so this is a way of sharpening my Java skills. I have a love/hate relationship with C++, but the more I use Java the more sure I am that I've made the right choice in implementing large software components in C++. The UNIX tar program Most of the Java code that implements the wavelet software is packaged with an archive program called tar . The tar program is standard on UNIX, Linux and probably Mac OS X. Originally tar stood for tape archive . If you don't have a copy of tar for Windows NT you can download the win32 binary here . This version of tar is open source software, from Cygnus (now Red Hat), and came with the Cygwin32 package.

42. Introduction To The Theory Of Wavelet Bases Изложены основные понятия теории базисов всплесков (wavelets). http://www.math.spbu.ru/user/dmp/BookPetukhov.html

(ñæàòûé PostScript-ôàéë, 350 Êá). NEW!

43. Wavelets.org ȨÀÔ´Ï´Ù The summary for this English page contains characters that cannot be correctly displayed in this language/character set. http://www.wavelets.org/

44. Ingrid Daubechies Professor of Applied Mathematics, Princeton University Department of Mathematics. Wavelet theory, time frequency analysis, data compression, compactly supported wavelets. http://www.princeton.edu/~icd/

45. Wavelets: Seeing The Forest A... - Summary One prominent application of wavelets has been in digital image compression. wavelets are central to the new JPEG2000 digital image standard and the WSQ http://www.beyonddiscovery.org/content/view.asp?I=1952

46. 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!)

47. Wavelets: Seeing The For... - An Idea With No Name Although the short pulses of Haar wavelets are excellent for teaching wavelet For example, an image reconstructed with Haar wavelets looks like a cheap http://www.beyonddiscovery.org/content/view.asp?I=1954

48. Mathematics Resources Mathematics resources on a broad range of topics from actuarial math to wavelets. http://www.library.yale.edu/science/subject/math.html

Yale University Science Libraries Research Tools Services Beginning Research About the Libraries QUICK LINKS Research Tools Orbis Library Catalog Online Databases Online Journals Help Getting Started Services Ask a Reference Question Renew Books View Your Library Account Request Items in Yale Libraries ... FES (Environment) Geology Mathematics Medicine Physics ... Hours Mathematics Resources SELECTED RESOURCES ORBIS - Online Catalog (books and journals in the Yale University Library System) AMS Mathematics Subject Classification Compendex (engineering) Electronic Journals Inspec (physics, computer science) LANL (arXiv) PrePrint Service MATHnetBase Math Handbooks MathSciNet (Mathematical Reviews) Scopus (interdisciplinary) Web of Science (Science Citation Index) ZMATH (Zentralblatt MATH) HELP Journal Articles Books Autoalerts (email updates) Mathematics Literature Guide Selected Mathematics web resources Web Gateways (Yahoo, search engines, phone books, societies, etc.)

49. Non-Seismic Wavelet Transforms A Friendly Guide to wavelets and related courses by Gerald Kaiser Image Compression wavelets, Multiresolution, Noise Suppression, Filtering, 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

50. 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 Webpage for JOHN DAUGMAN 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." Int'l Journal of Computer Vision, (1), pp 25-38.

51. WAILI -- Wavelets With Integer Lifting where it s pronounced PIEFPAK. This page is maintained by wavelets at cs.kuleuven.ac.be URL http//www.cs.kuleuven.ac.be/~wavelets/index.html. http://www.cs.kuleuven.ac.be/~wavelets/

WAILI Wavelets with Integer Lifting Introduction WAILI is a wavelet transform library. It includes some basic image processing operations based on the use of wavelets and forms the backbone of more complex image processing operations. Features WAILI Uses integer wavelet transforms based on the Lifting Scheme Provides various wavelet transforms of the Cohen-Daubechies-Feauveau family of biorthogonal wavelets Provides crop and merge operations on wavelet-transformed images Provides noise reduction based on wavelet thresholding using Generalized Cross Validation Provides scaling of images Provides edge enhancement of images Provides also some simple image operations (addition and subtraction of images) Allows different image representations (RGB, YUV, Lab, ...) WAILI.xl is a version of WAILI with Extensions for Very Large Images . Very large images are divided in blocks, which do not necessarily have to be present in the computer system's main memory. WAILI.xl provides most of the operations implemented in WAILI. Implementation The software library is written in C++ and extensively uses features of the ISO C++ 97 Standard to allow for a cleaner design. The development was done under

52. [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/

53. Jos Roerdink University of Groningen Image processing, mathematical morphology, wavelets, computer vision and scientific visualization. http://www.cs.rug.nl/~roe/roe.html

prof. dr. Jos B.T.M. Roerdink University of Groningen Institute for Mathematics and Computing Science P.O. Box 800, 9700 AV Groningen, The Netherlands Tel: +31 (0)50 363 3931 Fax: +31 (0)50 363 3800 Secretary: +31 50 363 3939 Research My current research interests are in scientific visualization, computer graphics and computer vision, and their application in neuroimaging and bioinformatics. I am leading the research group Scientific Visualization and Computer Graphics The text (in Dutch) of my inaugural address as professor of Scientific Visualization and Computer Graphics delivered April 20, 2004 can be found here. Publications A list of my personal publications can be found here. Education Scientific Visualization Computer Graphics Research projects Master Scientific Visualization and Computer Graphics Advanced Computer Graphics and Virtual Environments Last modified: Tue May 4 10:55:28 CEST 2004

54. Wavelets Plotting and Scheming with wavelets (select uncompressed postscript or The definitive World Wide Web resource for wavelets is The Wavelet Digest. http://www.spelman.edu/~colm/wav.html

Wavelets Wavelets are a relatively recent arrival on the scene, starting to make their mark in both the mathematical and applied communities in the mid 1980s. They provide an alternative to classical Fourier methods for one- and multi-dimensional data analysis and synthesis, and have numerous applications both within mathematics (e.g., to partial differential operators) and in areas as diverse as physics, seismology, medical imaging, digital image processing, signal processing and computer graphics and video. The most popular and accessible application of wavelets is probably to image compression. Emmy Noether (original, 25 to 1 and 100 to 1 normalized Haar wavelet compressed images). See Matlab M-files if you want to generate similar compression pictures for yourself. Unlike their Fourier cousins, wavelet methods make no assumptions concerning periodicity of the data at hand. As a result, wavelets are particularly suitable for studying data exhibiting sharp changes or even discontinuities. Wavelets allow information to be encoded according to "levels of detail" - in one sense this parallels the way in which we often process information in our everyday lives. Contrary to popular belief, wavelet basics can be explored keeping the mathematical prerequisites to a minimum - namely, familiarity with the elements of linear algebra. In particular, no knowledge of Fourier analysis is necessary to grasp the main concepts. We first became aware of this, in the case of simple Haar wavelets, via the wonderful paper

55. 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. 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.

56. 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

57. 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/

Prof. Dr. rer. nat. Alexander Keller , Geb. O27/338 Abteilung Medieninformatik Albert-Einstein-Allee 11 D-89069 Ulm Germany Voice: ++49 731 50 313 03 Fax: ++49 731 50 313 02 Fastest contact by email: alexander.keller@uni-ulm.de Curriculum Vitae Born on June 12, 1968 in Karlsruhe, Germany, Professor Dr. rer. nat. Alexander Keller studied computer science at the University of Kaiserslautern from 1988 to 1993. He then joined the Numerical Algorithms Group at the same university. Under the supervision of Prof. Dr. S. Heinrich he pursued his Phd-studies and defended his thesis on Friday, the 13th of June, 1997. In 1998 Alexander Keller was appointed scientific advisor of mental images . Among four calls in 2003, he chose to become a professor for computer graphics at the University of Ulm in Germany. If time permits, Dr. Funk still joins the gigs of the Sound Express Big Band , where he has been a member for over 20 years now. Research Main research interests include - computer graphics ( interactive production quality rendering - Monte Carlo and quasi-Monte Carlo methods

58. 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/

59. Wavelets XI - Conferences - Optics & Photonics 2005 - Calls For Papers - Confere SPIE The International Society for Optical Engineering is dedicated to advancing the scientific research and engineering applications of optics, http://www.spie.org/Conferences/Calls/05/am/conferences/index.cfm?fuseaction=OEI

60. Wavelets X - Conferences - SPIE Annual Meeting 2003 - Calls For Papers - Confere SPIE The International Society for Optical Engineering is dedicated to advancing the scientific research and engineering applications of optics, http://www.spie.org/Conferences/Programs/03/am/conferences/index.cfm?fuseaction=

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