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         Wavelets:     more books (100)
  1. Wavelets: Tools for Science & Technology by Stéphane Jaffard, Yves Meyer, et all 2001-04-15
  2. Wavelet Analysis: The Scalable Structure of Information by Howard L. Resnikoff, Raymond O. Wells, 2002-02-08
  3. An Introduction to Wavelets and Other Filtering Methods in Finance and Economics by Ramazan Gençay, Faruk Selçuk, et all 2001-09-12
  4. Fractal and Wavelet Image Compression Techniques (SPIE Tutorial Texts in Optical Engineering Vol. TT40) by Stephen Welstead, 1999-12
  5. A Friendly Guide to Wavelets by Gerald Kaiser, 1994-08-01
  6. Real Analysis: With an Introduction to Wavelet Theory (Translations of Mathematical Monographs) by S. Igari, 1998-07
  7. Wavelet Transforms and Their Applications by Lokenath Debnath, 2001-11-16
  8. Wavelets and Filter Banks by Gilbert Strang, Truong Nguyen, 1996-10-01
  9. Wavelets and Their Applications (Digital Signal and Image Processing series)
  10. Adapted Wavelet Analysis from Theory to Software by Mladen Victor Wickerhauser, 1994-07
  11. Statistical Modeling by Wavelets (Wiley Series in Probability and Statistics) by Brani Vidakovic, 1999-05-03
  12. Wavelets in Electromagnetics and Device Modeling (Wiley Series in Microwave and Optical Engineering) by George W. Pan, 2003-02-05
  13. Approximation Theory: From Taylor Polynomials to Wavelets (Applied and Numerical Harmonic Analysis) by Ole Christensen, Khadija L. Christensen, 2005-09-20
  14. Wavelet Transforms And Motion-compensated Temporal Filtering: Vlsi Architecture And Memory by Liang-Gee Chen, Chao-Tsung Huang, et all 2006-12-09

21. Wave:Wavelets 1
Wavelet Analysis.
Wavelet Analysis
back to PAOS
Many time series in geophysics exhibit non-stationarity in their statistics. While the series may contain dominant periodic signals, these signals can vary in both amplitude and frequency over long periods of time.
Fig. 1.
The simplest method for analyzing non-stationarity of a timeseries would be to compute statistics such as the mean and variance for different time periods and see if they are significantly different. In Figure 1 we have also plotted the running 15-year variance, as a measure of total power inherent in the signal versus time. One can see that ENSO had more variance during 1880-1920 and also since 1950, with a relatively quiet period during 1920-1950. While the running variance tells us what the overall strength of the signal was at certain times, it suffers from two major defects:
  • [Time Localization] The shape of the curve is highly dependent on the length of the window used. Fifteen years was chosen above as a compromise between either too-much smoothness (say using a 30-year window), or too-little (a 5-year window). An ideal method would allow different window sizes depending on the scales that one is interested in.
  • [Frequency Localization] The running variance contains no information on the frequency of a periodic signal, only its amplitude (and that only if the window is chosen widely).
  • 22. Perfectly Scientific - Home
    the scientific algorithm company. Experts in compression, wavelets, FFT, general transforms, color graphics, Monte Carlo, fractals, convolution,signal processing, matrix algebra, genetic algorithms, number theory.

    PSI news
    PSI offers unique services that are hard to find elsewhere. We specialize in industrial algorithm problems. Contact us to help solve your specific algorithm problems. PSI offers software that embodies classical algorithms and/or our proprietary algorithms. As for hardware, PSI designs and supports laboratory peripherals for Mac OS X. See our software and hardware page PSI also provides a unique collection of scientific souvenir and gifts.

    23. The Wavelet Tutorial The Engineer's Ultimate Guide To Wavelet
    The Wavelet Tutorial The Engineer's Ultimate Guide to Wavelet Analysis This site's author created this unique wavelet tutorial to help people with no prior knowledge of wavelet theory. In

    24. Sampling Theory In Signal And Image Processing
    Publishes referred articles on the development and applications of sampling and interpolation theory, wavelets, tomography,the Gibbs phenomenon. Comes out three times a year.
    This page uses frames, but your browser doesn't support them. click here

    25. Wavelets At Imager
    wavelets at Imager. We re releasing some of our work via this page, as described below. The Course wavelets and their Applications in Computer Graphics .
    Wavelets at Imager
    Here at Imager, we've been doing some work with wavelets, those clever little multiresolution basis functions. We're releasing some of our work via this page, as described below.
    The Course "Wavelets and their Applications in Computer Graphics"
    This course, taught at SIGGRAPHs '94 and '95, was organized by Dr. Alain Fournier . It includes presentations by a number of experienced wavelet researchers. You can download the notes accompanying the SIGGRAPH '95 presentation of this course . These are in the form of a (UNIX) compress ed file 3.4MB in size that uncompresses to an 11.0MB PostScript(tm) file. The printed document is 239 pages long. These notes are provided through the courtesy of Dr. Fournier. If you have difficulty downloading this file over the Web, it is also available via FTP at node "" in directory "/pub/local/bobl/wvlt" as file "".
    wvlt - The Imager Wavelet Library
    The Imager Wavelet Library (wvlt) is a small set of routines that allow the user to manipulate wavelets. This package includes C source for the library and for three sample binaries that call it, some demos, and some (sparse) documentation. It was described in the above course. You can download a UNIX shar file (its size is about 164KB) of the most recent release, 2.1, of this package. Alternatively, you can download

    26. The Community: Wavelets, Signals, Images, Video
    Image and signal processing, wavelets, and spectral analysis. Offer consulting service and advanced Web technology for forums. Also offer courses and seminars.
    This URL is obselete. Please go to

    27. A Practical Guide To Wavelet Analysis
    A Practical Guide to Wavelet Analysis Christopher Torrence (National Center for Atmospheric Research) and Gilbert Compo (NOAA/ CIRES Climate Diagnostics Center) have put together this Website for

    28. SIMPLIcity: Content Based Image Retrieval / Search (1995-, WIPE, Virtual Microsc
    Largescale content-based image retrieval by James Wang, Jia Li, and Gio Wiederhold. Uses wavelets to Classify web sites and web images.
    Content-based Image Retrieval Project
    (1995-2000, Stanford University; 2001-, Penn State University)
    >> This page holds information related to this project before August 2000.
    >> For up-to-date info and demos related to this project, go to the new page
    This content-based image search and automatic learning-based linguistic indexing project was started in 1995 when James Z. Wang developed an art image retrieval system for the Stanford University Libraries. He has later worked for the IBM QBIC project, the NEC AMORA project, and the AI Center of SRI International. From 1999 to 2000, the project was funded by the National Science Foundation under the TID (Trusted Image Distribution) project (PI: Gio Wiederhold). TID is part of the NSF Digital Library Initiative II (DLI-II) program . The technology research has been continued at Penn State University since 2001, with funding from the National Science Foundation ITR (PI: James Z. Wang), PNC Foundation, and SUN Microsystems. If you have any questions or comments about the image retrieval project, please send a message to James Z. Wang

    29. Wavelets
    wavelets. Tutorials Wavelet Tutorial web sites Kapitel 3 WaveletKompression; Bibliographies on wavelets; Wavelet Group Karlsruhe;
    Papers by me (in german)
    Grundlagen / Basics:
    Homepages von Wavelet/Compression-Forschern / scientists homepages:
    Java Wavelet-Sources
    Kommerzielle Wavelet-Forschung / Commercial research:
    Kompression allgemein / Compression in general:
    This Page: Last modified: 2000-01-03 20:18:59 MET by
    Created with: XEmacs

    30. Leeds Annual Statistical Research Workshops
    Organised by the Department of Statistics, University of Leeds, Leeds, UK. Some papers are online. 23rd meeting LASR2004 Bioinformatics, Images and wavelets; 68 July 2004.
    Leeds Annual Statistical Research Workshops
    Department of Statistics
    The University of Leeds, Leeds, LS2 9JT, U.K.
    Tel: 0113 343 5101, Fax: 0113 343 5090
    The Leeds Workshop is a well established annual event now looking forward to its 23rd year. Although begun as an internal event, it now enjoys the support of a number of visitors each year from other universities and research bodies from home and abroad. These workshops usually extend over three days with input by one or more invited speakers. Over recent years, the theme of the workshop has reflected the growing, but not exclusive, departmental interest and expertise in bioinformatics, image analysis and shape analysis.
  • LASR2004 - Bioinformatics, Images and Wavelets. 6 - 8 July 2004.
  • LASR2003 - Stochastic Geometry, Biological Structure and Images
    (Workshop Proceedings now available online.)
  • LASR2002 - Statistics of large datasets: Functional and image data, bioinformatics and data mining
    (Some of the papers from the Workshop Proceedings are now available online.)
  • LASR2001 - Functional and Spatial Data Analysis
    (Workshop Proceedings are now available online.)
  • 31. Gilbert Strang's Home Page
    MIT. Lecture notes, text and research papers in numerical linear algebra and wavelets.
    Gilbert Strang
    Professor of Mathematics
    Department of Mathematics
    Massachusetts Institute of Technology
    Room 2-240
    Cambridge MA 02139
    Phone: (617) 253-4383
    Fax: (617) 253-4358
    Send e-mail to:
    Short Biography: Short Biography
    Curriculum Vitae: Curriculum Vitae
    Books and Publications
    Visit the new Wellesley-Cambridge Press website
    2000-2001 Classes
    18.06 Linear Algebra (The 18.06 lectures for Fall 1999 are now on the web.) 18.085 Applied Mathematics and Engineering Mathematics 18.327 Wavelets and Filter Banks

    32. Wavelets In The Statistics Group At The University Of Bristol
    See our postgraduate opportunities page Introductory material on wavelets. Click on the Lennon image to see a video of the image being built by wavelets.

    33. Andreas Klappenecker's Home Page
    Assistant professor at Texas A M. Quantum computing, wavelets. Includes lecture notes and preprints in pdf format.
    Andreas Klappenecker
    Assistant Professor
    Department of Computer Science
    College Station, TX 77843-3112
    USA Office 509B Harvey R. Bright Building
    klappi @
    • Office hours M 1:45-2:45pm, T 11:00am-noon, or by appointment
    Courses and Seminar
    Previous courses and seminars
    My Erdös number is 2: Paul Erdös collaborated with Itshak Borosh, who collaborated with me.

    34. Discovering Wavelets: Tutorial
    DW Home Page. Discovering wavelets Tutorials If you are interested in an introduction to wavelets, we would humbly recommend our textbook.
    DW Home Page
    Discovering Wavelets: Tutorials
    maintained by Edward Aboufadel and Steven Schlicker If you are interested in an introduction to wavelets, we would humbly recommend our textbook. However, there are also many free sources available on the Internet. We have reproduced here a few that we think are most accessible to undergraduates and nonspecialists.
    The Wavelet Tutorial: The Engineer's Ultimate Guide to Wavelet Analysis, by Robi Polikar
    An Introduction to Wavelets, by Amara Graps Wavelets, the Idiots Guide (that's what he calls it, but it has some Java applets!) Wavelet Image Compression: Beating the Bandwidth Bottleneck
    By Peter Schroder, in Wired Vol. 3, No. 5, May 1995. , a Postscript File of his Mathematics Magazine article, along with an Errata Page A Practical Guide to Wavelet Analysis
    by Christopher Torrence and Gilbert P. Compo. The FBI's wavelet-based Integrated Automated Fingerprint Identification System
    See the press release of August 10, 1999.
    We also have a page of links to wavelet sites . Also, you might find some interesting information at one of the other main pages on this site ( Wavelets for Undergraduates Student Projects , or Software

    35. Ingrid Daubechies
    Professor of Applied Mathematics, Princeton University Department of Mathematics. Wavelet theory, time frequency analysis, data compression, compactly supported wavelets.

    36. Wavelets: Seeing The Forest A... - Summary
    This article describes the development of the mathematical modeling technique known as wavelets , which is used in computer imaging and animation as well as by

    37. Wavelets: Seeing The For... - The Great Synthesis
    Home Articles wavelets Seeing the For The Great Synthesis.

    Mathematics resources on a broad range of topics from actuarial math to wavelets.
    The page you are attempting to locate has been moved as part of a complete redesign of the Yale Science Libraries web site. The new URL is Please update any Bookmarks or Favorites. date: 17 December 2002 Science Libraries Home Page

    39. Jos Roerdink
    University of Groningen Image processing, mathematical morphology, wavelets, computer vision and scientific visualization.
    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
    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
    A list of my personal publications can be found here.

    Last modified: Tue May 4 10:55:28 CEST 2004

    40. WAILI -- Wavelets With Integer Lifting
    WAILI wavelets with Integer Lifting. Introduction. Enquiries about the license conditions should be directed to wavelets at
    WAILI Wavelets with Integer Lifting
    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.
    • 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.
    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

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