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         Wavelets:     more books (100)
  1. Fundamentals of Wavelets: Theory, Algorithms, and Applications (Wiley Series in Microwave and Optical Engineering) by Jaideva C. Goswami, Andrew K. Chan, 1999-02-16
  2. Second Generation Wavelets and Applications by Maarten H. Jansen, Patrick J. Oonincx, 2005-04-28
  3. Discovering Wavelets by Edward Aboufadel, Steven Schlicker, 1999-10-05
  4. Time-Frequency/Time-Scale Analysis, Volume 10 (Wavelet Analysis and Its Applications) by Patrick Flandrin, 1998-10-05
  5. Wavelets and Multiwavelets (Studies in Advanced Mathematics) by Fritz Keinert, 2003-11-12
  6. Time Frequency and Wavelets in Biomedical Signal Processing (IEEE Press Series on Biomedical Engineering)
  7. Elements of Wavelets for Engineers and Scientists by Dwight F. Mix, Kraig J. Olejniczak, 2003-09-08
  8. Bayesian Inference in Wavelet Based Models
  9. Wavelets: Theory and Applications for Manufacturing by Robert X Gao, Ruqiang Yan, 2010-11-28
  10. Wavelets and their Applications (Digital Signal & Image Processing Series (ISTE-DSP))
  11. Signal Processing with Fractals : A Wavelet-Based Approach by Gregory Wornell, 1996
  12. Wavelets: Calderón-Zygmund and Multilinear Operators (Cambridge Studies in Advanced Mathematics) by Yves Meyer, Ronald Coifman, 2000-07-31
  13. Wavelets, Vibrations and Scalings (Crm Monograph Series) by Yves Meyer, 1997-11-18
  14. Numerical Analysis of Wavelet Methods, Volume 32 (Studies in Mathematics and its Applications) by A. Cohen, 2003-05-13

81. Dr Creusere Home Page
Perfect reconstruction filter banks, wavelets, video compression. Assistant Professor at New Mexico State University.
http://www.ece.nmsu.edu/people/creusere.html
Charles D. Creusere
Assistant Professor, Klipsch School of Electrical and Computer Engineering at New Mexico State University
How to Contact Me:
Klipsch School of Electrical and Computer Engineering
Las Cruces, NM 88003 USA ccreuser@nmsu.edu Phone: (505) 646-3919
FAX: (505) 646-1435
Dept: (505) 646-3115
Research Interests:
  • Multirate Filter Banks and Wavelets Image and Video Compression Wideband Audio Compression Novel Applications of Time-Frequency Decompositions
Biography:
Some Recent Publications:
  • C. D. Creusere, "A new method of robust image compression based on the embedded zerotree wavelet algorithm," IEEE Trans. on Image Processing, Vol. 6, No. 10, Oct. 1997, Pp. 1436-1442. C. D. Creusere and A. Van Nevel, "ATR-directed image and video compression," Journal of Aircraft, Vol. 36, No. 4, July-August 1999. C. D. Creusere, "Fast embedded compression for video," IEEE Trans. on Image Processing, December 1999.
Courses I Teach:
  • EE 596 - Digital Image Processing
Education:
  • Ph.D. Electrical Engineering

82. Wavelets For Computer Graphics
wavelets are a mathematical tool for hierarchically decomposing functions. As the figures below illustrate, wavelets can be applied to a wide variety of
http://grail.cs.washington.edu/projects/wavelets/
Wavelets for Computer Graphics
Overview
Wavelets are a mathematical tool for hierarchically decomposing functions. They allow any function to be described in terms of a coarse overall shape, plus details that range from broad to narrow. As the figures below illustrate, wavelets can be applied to a wide variety of objects used in graphics, including images, curves, surfaces, and the solutions to lighting simulations. Images
20 coefficients
200 coefficients
16,000 coefficients Curves
level 3.1
level 5.4
level 8.0 Surfaces
229 triangles
2,000 triangles
10,000 triangles Simulation
no refinement 6 refinements final gather
Publications
Although a great deal has been written about wavelets, most of the literature uses terminology from signal processing and pure mathematics. Our aim in writing the tutorial article and the book listed below was to provide a consistent theoretical framework for those working in computer graphics, as well as examples of graphics applications that make use of wavelets. The Article Wavelets for Computer Graphics: A Primer . Eric J. Stollnitz, Tony D. DeRose, and David H. Salesin.

83. Facts About Croatia: File Not Found
For DSP specialists.
http://www.hr/josip/DSP/FAQ/8.html
Impressum Feedback Site Map Odaberi jezik : Hrvatski h omepage w ... ut www.hr search within web directory and show results Location: Homepage Facts about Croatia File not found Facts about Croatia > File not found!
Due to the recent site update, some pages have been removed, some have been reorganized and restructured. We have tried to redirect old URLs to the new ones, but the fact that you're reading this is a proof we didn't succeed. :) However, here's a list of pages that we still maintain, which have been moved to www.hr server. WWW.HR

84. Wavelets For Computer Graphics
wavelets are a mathematical tool for hierarchically decomposing functions. Using wavelets, a function can be described in terms of a coarse overall shape,
http://grail.cs.washington.edu/projects/wavelets/article/
W AVELETS FOR C OMPUTER G RAPHICS
A P RIMER
Eric J. Stollnitz Tony D. DeRose David H. Salesin Wavelets are a mathematical tool for hierarchically decomposing functions. Using wavelets, a function can be described in terms of a coarse overall shape, plus details that range from broad to narrow. Regardless of whether the function of interest is an image, a curve, or a surface, wavelets provide an elegant technique for representing the levels of detail present. This primer is intended to provide those working in computer graphics with some intuition for what wavelets are, as well as to present the mathematical foundations necessary for studying and using them. In Part 1, we discuss the simple case of Haar wavelets in one and two dimensions, and show how they can be used for image compression. Part 2 presents the mathematical theory of multiresolution analysis, develops bounded-interval spline wavelets, and describes their use in multiresolution curve and surface editing. Part 1 Eric J. Stollnitz, Tony D. DeRose, and David H. Salesin. Wavelets for computer graphics: A primer, part 1

85. TMR Network On Wavelets In Numerical Simulation
wavelets AND MULTISCALE METHODS IN NUMERICAL ANALYSIS AND SIMULATION. Reports Preparation European Summer School on Multiscale Approaches in the Numerical
http://dragon.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
Silvia Bertoluzza

86. Wavelets'02, Barcelona
Introduction and basic aspects of wavelets theory (Guido Weiss , Washington A bit of history of wavelets and related systems and why they arose.
http://www.imub.ub.es/wavelets/
WAVELETS AND APPLICATIONS Barcelona, July 1-6, 2002 The Institute of Mathematics of the University of Barcelona (IMUB) organizes a workshop on Wavelets and Applications , July 1-6, 2002 (Barcelona). The Organizing Committee The course is addressed to graduate students and young researchers not necessarily specialized on wavelets. There will be four main basic courses: Introduction and basic aspects of wavelets theory , G. Weiss ( PDF Wavelets and probability , R. Gundy ( PDF Wavelets and numerical methods , C. Canuto and A. Tabacco ( PDF Slides 1 Slides 2 Slides 3 ... Computer-based wavelet analysis , T. Nguyen ( PDF The workshop will also consist of several specialized lectures related and complementing the above courses. (The workshop Lecture Notes , published by the IMUB , can be downloaded in PDF format.) The lectures will take place at the Faculty of Mathematics building, located at the downtown campus of the University of Barcelona Programme for more details). The inscription will be done by rigorous date of payment. With the support of the Spanish Mathematical Society (RSME) , the organizers will offer a few grants to cover some of the participants expenses. This money will be awarded directly by the RSME after the workshop.

87. A Wavelet Tutorial From S. Mallat's Book
A set of short presentation on frequency analysis, dyadic wavelets and discrete filtering, regularity analysis, and frames.
http://cas.ensmp.fr/~chaplais/Wavetour_presentation/Wavetour_presentation_US.htm
A WAVELET TOUR
OF SIGNAL PROCESSING

BY
Academic Press, 1998
A SHORT PRESENTATION BY F. CHAPLAIS
for those who hate preambles
Hardware and Software Requirements
Warning
This presentation is inspired from S.G. Mallat's book and does not pretend to reflect it exactly. It is concerned with the following topics:
  • Fourier analysis (chapter 2) time-frequency analysis (chapter 4, except for the quadratic energy distributions)) frames (chapter 5) singularity analysis and reconstruction (chapter 6 except for the multifractals) wavelet bases and filter banks (chapter 7)
The following topics from the book are not covered here:
  • chapter 3 about discrete signals (except for the FFT and convolutions algorithms, which are briefly described) chapter 8 on wavelet packets and local cosine bases chapter 9 on approximation chapter 10 about estimation (which is being revised by S.G. Mallat for the French edition and the second US edition) chapter 11 on compression and coding (hope to do it someday)
Proposed Tours
Four tours are proposed, corresponding to four different topics. These tours are linked to each other sequentially. Many links allow navigation from one to topic to another for a nonlinear browsing.

88. Wavelets - Computerworld
wavelets in Multiresolution Analysiswavelets are finite windows through which the signal can be viewed. In order to move the window about the length of the signal, the wavelets can be
http://www.computerworld.com/databasetopics/data/story/0,10801,100150,00.html?so

89. RICOH CREW Technology
Compression with Reversible Embedded wavelets. CREW is a new form of still image compression that is lossy and lossless, bilevel and continuous-tone,
http://www.crc.ricoh.com/CREW/
Compression with Reversible Embedded Wavelets
CREW is a new form of still image compression that is lossy and lossless, bi-level and continuous-tone, progressive by resolution and pixel depth, and can preserve the source image at encode and quantize for the target device at decode or transmission. It uses a reversible wavelet transform. Complete documentation for CREW is available in pdf. CREW was developed by Ricoh Company, Ltd. and Ricoh Innovations, Inc. at the California Research Center . RICOH offered this technology to the ACR-NEMA MED-PACS Working Group IV (DICOM) committee for a new American medical image compression standard. RICOH also offered this technology to the ISO/IEC JTC1/SC29/WG1 (JPEG, JBIG) committee for a new international compression standard this submission led to the new work item called JPEG 2000. Ricoh is now fully supporting JPEG 2000 , which pass the ISO vote to become an International Standard in January 2nd, 2001.
CREW summary
CREW related documents
CREW image demonstration
For suggestions, comments or questions send email: crew@crc.ricoh.com

90. WAVELETS 2004: University Of Prince Edward Island
INTERNATIONAL WORKSHOP waveletsTHEORY AND APPLICATIONS To explore and summarize the current status of research on wavelets and to suggest and
http://www.math.upei.ca/wavelets/wavelets.html
INTERNATIONAL WORKSHOP:
WAVELETSTHEORY AND APPLICATIONS
Sponsors Organizing and Program Committee Objective Program ... P.E.I. , CANADA
April 26 - May 7, 2004
Sponsors:
AARMS , Atlantic Association for Research in the Mathematical Sciences.
MITACS
, Mathematics of Information Technology and Complex Systems.
University of Prince Edward Island
Organizing and Program Committee:
Gordon MacDonald, University of Prince Edward Island.
Sheldon Opps, University of Prince Edward Island.
James Polson, University of Prince Edward Island.
Nasser Saad, University of Prince Edward Island.
Syed Twareque Ali, Concordia University, Montreal.
Keith F. Taylor, Dalhousie University, Halifax.
Objectives:
  • To acquaint undergraduate and graduate students with this exciting field of research, and to highlight possible applications to different industrial areas. To facilitate future and ongoing contacts between students in Atlantic Canada and elsewhere with experts in the field. To facilitate future contacts of researchers in Atlantic Canada and elsewhere with industries interested in this area of research. To explore and summarize the current status of research on wavelets and to suggest and stimulate novel theoretical, methodological and computational research directions for both students and researchers.

91. MotionWavelets Video Compression - Aware, Inc.
Compression methods based on a mathematical technique known as wavelets are widely acknowledged as producing results superior to traditional blockbased
http://www.aware.com/products/compression/motionwavelets.htm
Products Compression Software
MotionWavelets Video
MotionWavelets is a software video codec that delivers real-time, high-quality video compression to the PC-based digital video user. Powered by a wavelet-based compression engine optimized for MMX processors, MotionWavelets compresses 640x480, 30 frames per second video with VHS quality, in real time on a PII/450MHz PC. MotionWavelets will compress greater than 60 fps 320x240 on any P/MMX 200MHz PC or above. Please click here to contact Aware The combination of the MotionWavelets codec and an inexpensive video capture device is an effective alternative to costly solutions using MPEG, Motion JPEG and other hardware capture codecs. In addition, the codec’s performance will continue to improve as faster PCs become available.
Intended Users
  • Makers of PC video capture devices such as video capture boards, TV tuner boards and digital video cameras who want to add high quality video compression to their products at low cost and with minimal development effort.

92. Theofanis Sapatinas
wavelets and statistical modelling.
http://www.ucy.ac.cy/~fanis/
Dr Theofanis Sapatinas
Associate Professor of Statistics
Location: B130 (University Campus)
Postal Address: Department of Mathematics and Statistics, University of Cyprus, P.O. Box 20537, CY 1678 Nicosia, Cyprus
Phone:
Fax:
Email:
T.Sapatinas@ucy.ac.cy
Academic Qualifications:
Appointments:

93. Vivek Goyal
wavelets, frames, packet erasure coding.
http://lcavwww.epfl.ch/~goyal/
Vivek Goyal
email: v . g o y a l @ i e e e . o r g On May 1, 2001, I left my position as a Member of Technical Staff in the Mathematics of Communications Research department of Bell Labs to become a Senior Research Engineer at Digital Fountain . Since then, LCAV has hosted my web presence, even though I was last a true member of LCAV in September 1996. I subsequently moved on from Digital Fountain. I was a Visiting Scholar in the EECS Department at the University of California, Berkeley where my sponsors were the Berkeley Audio-Visual Signal Processing and Communication Systems research group and Professor Martin Vetterli. Then on January 1, 2004, I joined the EECS Department and the Research Laboratory of Electronics at the Massachusetts Institute of Technology as an Assistant Professor. I will soon retire this web site. Please visit the web site of my Signal Transformation and Information Representation group at MIT. List of writings, many with abstracts and text available on-line
Vivek Goyal Last updated 4 Mar 04

94. Wavelets - C S Salimath
Applications of wavelets.
http://www.geocities.com/salimaths/
C S Salimath My Backround My Picture Gallery Wavelets Yahoo! More on Wavelets. salimathcs@hotmail.com More on Mathematics. This site is optimized for 800 x 600 pixels screen resolution More about my guide Prof.N.M.Bujurke My research guide Prof.N.M.Bujurke, recipient of various awards in the field of teaching and research. Awarded Fellow of National Academy in 2003.
Read More
Papers on Wavelets (Downloads):
Wavelets and Their Applications.
(.pdf)
Orthogonal Wavelets and Multiresolution Analysis.
(.pdf)
(.pdf)
Wavelets - From Approximation Theory Point of View.
(.pdf)
Wavelets in Numerical Analysis of Differential Equations.
(.pdf)
Fourier Wavelet and Fractal Analysis in the study of Normal and Turbulent Fluid Flows.
(.pdf) This is personal webpage of C S Salimath. I am doing research on Wavelets at Karnatak University, Dharwad, India. Articles (Expository/Tutorial) on WAVELETS can be found here. This research is being carried out under the guidance of Prof. N. M. Bujurke. The articles are in (.pdf) format and can be downloaded. Wavelets is an emerging branch of Mathematics. It deals basically with image compression techniques and finds use in almost all fields as diverse as pictures, image transmission. magnetic resonance imaging, finger printing technology etc.

95. The Math Forum - Math Library - Fourier/Wavelets
The Math Forum s Internet Math Library is a comprehensive catalog of Web sites and Web pages relating to the study of mathematics. This page contains sites
http://mathforum.org/library/topics/fourier/
Browse and Search the Library
Home
Math Topics Analysis : Fourier/Wavelets

Library Home
Search Full Table of Contents Suggest a Link ... Library Help
Selected Sites (see also All Sites in this category
  • Fourier Analysis - Dave Rusin; The Mathematical Atlas
    A short article designed to provide an introduction to Fourier analysis, which studies approximations and decompositions of functions using trigonometric polynomials. Of incalculable value in many applications of analysis, this field has grown to include many specific and powerful results, including convergence criteria, estimates and inequalities, and existence and uniqueness results. Extensions include the theory of singular integrals, Fourier transforms, and the study of the appropriate function spaces. Also approximations by other orthogonal families of functions, including orthogonal polynomials and wavelets. History; applications and related fields and subfields; textbooks, reference works, and tutorials; software and tables; other web sites with this focus. more>>
  • An Introduction to Fourier Theory - Forrest Hoffman
    A paper about Fourier transformations, which decompose or separate a waveform or function into sinusoids of different frequencies that sum to the original waveform. Fourier theory is an important tool in science and engineering. Contents: Introduction; The Fourier Transform; The Two Domains; Fourier Transform Properties - Scaling Property, Shifting Property, Convolution Theorem, Correlation Theorem; Parseval's Theorem; Sampling Theorem; Aliasing; Discrete Fourier Transform (DFT); Fast Fourier Transform (FFT); Summary; References.
  • 96. Jayakanth Home Page
    Application of wavelets in Image Processing as applied in display products particularly for consumer electronic devices.
    http://students.uta.edu/jx/jxs3715/
    Home Personal News

    97. Wavelets
    Yves Meyer (translated from the French by Robert D. Ryan), wavelets algorithms Alain Fournier (organizer), wavelets and Their Applications in Computer
    http://www.ecst.csuchico.edu/~jacobsd/wave/
    Wavelets
    I've just started in the field, and I'm still looking for time to update my web pages, so there's not much that's new here.
    Other Servers
    Various Resources
    Thesis Work
    Here is a copy of my thesis proposal
    Literature References
    For broad overviews, I'd recommend
    • Andrew S. Glassner, Principles of Digital Image Synthesis , Morgan Kauffman, 1995.
    • Yves Meyer (translated from the French by Robert D. Ryan), , SIAM, 1994, 133 pages.
    • Olivier Rioul and Martin Vetterli, " Wavelets and Signal Processing ", IEEE Signal Processing Magazine, October 1991, pp 14-38.
    • Eric J. Stollnitz, Tony D. DeRose, and David H. Salesin, " Wavelets for Computer Graphics: A Primer ", IEEE Computer Graphics and Applications. May 1995, pp 76-84 and July 1995, pp 75-85.
    • Amara Graps, " An Introduction to Wavelets ", IEEE Computational Science and Engineering, Summer 1995, v.2, n.2, pp 50-61.
    • Alain Fournier (organizer)

    98. Julian Magarey
    University of Cambridge. Multiresolution image sequence processing, wavelet transforms, and computer vision, complex wavelets for motion estimation.
    http://www-sigproc.eng.cam.ac.uk/oldhomes/jfam/public_html/
    Julian Magarey
    Research Keywords
    • Wavelet Transforms
    • Motion Estimation
    • Image Processing
    Contact addresses
    My curriculum vitae (70 kB). A few useful web items. A little about my work. Trinity BA Football Club Home Page. Here's me in a recent fantasy:
    Am I logged in?
    Finger @Local PC Finger @The Departmental Unix System Back to the Signal Processing Group Home Page. Back to the Engineering Department's Home Page. Email to jfam@eng.cam.ac.uk

    99. Biorthogonal Wavelets
    Introduction Dual Bases Biorthogonal wavelets Biorthogonal Spline wavelets Biorthogonal Wavelet Transforms Do you have questions about this topic?
    http://documents.wolfram.com/applications/wavelet/index10.html
    PreloadImages('/common/images2003/btn_products_over.gif','/common/images2003/btn_purchasing_over.gif','/common/images2003/btn_services_over.gif','/common/images2003/btn_new_over.gif','/common/images2003/btn_company_over.gif','/common/images2003/btn_webresource_over.gif'); Mathematica Applications All of Documentation Center All of wolfram.com Documentation Wavelet Explorer Fundamentals of Wavelets
    Biorthogonal Wavelets
    Contents
    Introduction Dual Bases Biorthogonal Wavelets ... Biorthogonal Wavelet Transforms
    Sign up for our newsletter:

    100. Michael Unser
    Sampling theories, multiresolution algorithms, wavelets, and the use of splines for image processing.
    http://bigwww.epfl.ch/unser/
    Biomedical Imaging Group Michael Unser English only BIG Members CONTENTS Home page Events Members Publications ... Teaching Michael Unser Michael Unser was born in Zug, Switzerland, on April 9, 1958. He received the M.S. ( summa cum laude ) and Ph.D. degrees in Electrical Engineering in 1981 and 1984, respectively, from the Swiss Federal Institute of Technology ( EPFL ) in Lausanne, Switzerland. From 1985 to 1997, he was with the Biomedical Engineering and Instrumentation Program, National Institutes of Health , Bethesda USA, where he was heading the Image Processing Group. He is now Professor and Director of the Biomedical Imaging Group at the EPFL. His main research area is biomedical image processing. He has a strong interest in sampling theories, multiresolution algorithms, wavelets, and the use of splines for image processing. He is the author of over 100 published journal papers in these areas. Dr. Unser is the associate Editor-in-Chief of the IEEE Transactions on Medical Imaging and the Editor-in-Chief of the Wavelet Digest , the electronic newsletter of the wavelet community.

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