wavelet digest, vol 10, nr 04.txt

现代信号处理讲义,包含许多的例题,解答等Qinghua University publishing house modern signal processing course

Wavelet Digest            Friday, December 21, 2001          Volume 10 : Issue 4



Today's Editor: Wim Sweldens
                Lucent Technologies, Bell Laboratories
                http://wim.sweldens.com


Your e-mail address: [e-mail]



Today's Topics:


     1. Book:     Introduction to Wavelets for Finance and Economics
     2. Book:     Wavelets through a Looking Glass
     3. Book:     Wavelets - eine Einfuehrung fuer Ingenieure (in German)
     4. Book:     Wavelets in Signal and Image Analysis
     5. Preprint: Wavelet Analysis and Envelope Detection...
     6. Preprint: Matrix Factorizations for Reversible Integer Mapping
     7. Preprint: A Wavelet Solution to Spurious Regression
     8. Preprint: Wavelets, Fractals and Radial Basis Functions
     9. Preprint: Reversing subdivision and constructing multiresolutions
    10. Thesis:   Complex Wavelet Transforms with Controllable Redundancy
    11. Software: Joint time-frequency analysis using Signalogram
    12. Meeting:  Third Seminar Wavelets and their Applications
    13. Meeting:  Wavelets and Smart Visualization, Kyoto, Japan, 2002
    14. Meeting:  Workshops at the Fields Institute
    15. Meeting:  Havana Workshop on Wavelets
    16. Meeting:  Summer School on wavelets/multiscale techniques
    17. Meeting:  Workshop on Wavelets and Applications
    18. Job:      MSc/PhD scholarship at U of Signapore
    19. Job:      PhD Position at U of Missouri
    20. Job:      Faculty position at Caltech Applied Math
    21. CFP:      Wavelet and Fractal Methods in Science and Engineering
    22. Contents: J. Approx. Th. - oct01/dec01 TOC
    23. Answer:   Factoring polyphase matrices WD 10.3 #39
    24. Answer:   Help about wavelets and images (WD 10.02 #27)
    25. Question: SPEC seeking new benchmark applications
    26. Question: Echo cancellation using wavelets
    27. Question: Wavelets on triangulations using lifting
    28. Question: A question about 2D FFT and wavelets
    29. Question: Analysis of broadcasts of audiovisual media
    30. Question: Telecomm application question
     
Current number of members: 18616


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Visit us on the Web at http://www.wavelet.org/


Calendar of events:


 Aug 26-29: Wavelets and Smart Visualization, Kyoto, Japan     WD 10.4 #13
 Feb 18-22: Havana Workshop on Wavelets, Cuba                  WD 10.4 #15
 Sep 8-13:  Summer School on wavelets/multiscale, France       WD 10.4 #16
 Jul 1-6:   Workshop on Wavelets and Applications, Barcelona   WD 10.4 #17



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Date: Fri, 28 Sep 2001 10:10:45 -0600 (MDT)
From: Brandon Whitcher <[e-mail]>
Subject: #1 Book: Introduction to Wavelets for Finance and Economics


Book Announcement:


  An Introduction to Wavelets and Other Filtering Methods in
  Finance and Economics


  by Ramazan Gencay, Faruk Selcuk, and Brandon Whitcher


Academic Press (San Diego), September 2001.
ISBN: 0-12-279670-5, 359 pages, case bound, $79.95.


URL: http://www.cgd.ucar.edu/~whitcher/book/
     http://www.apnet.com/catalog/0122796705/


An Introduction to Wavelets and Other Filtering Methods in Finance and
Economics presents a unified view of filtering techniques with a
special focus on wavelet analysis in finance and economics. It
emphasizes the methods and explanations of the theory that underlies
them. It also concentrates on exactly what wavelet analysis (and
filtering methods in general) can reveal about a time series. It
offers testing issues which can be performed with wavelets in
conjunction with the multiresolution analysis. The descriptive focus
of the book avoids proofs and provides easy access to a wide spectrum
of parametric and nonparametric filtering methods. Examples and
empirical applications will show readers the capabilities, advantages,
and disadvantages of each method.


Contents:


  Preface
  Introduction
  Linear Filters
  Optimum Linear Estimation
  Discrete Wavelet Transforms
  Wavelets and Stationary Processes
  Wavelet Denoising
  Wavelets for Variance-Covariance Estimation
  Artificial Neural Networks


Brandon Whitcher
Geophysical Statistics Project
National Center for Atmospheric Research
[e-mail]


------------------------------


Date: Fri, 28 Sep 2001 12:00:05 -0500
From: Brian Treadway <[e-mail]>
Subject: #2 Book: Wavelets through a Looking Glass


Forthcoming March 2002


Wavelets through a Looking Glass: The World of the Spectrum
O. Bratteli, University of Oslo, Oslo, Norway
P. Jorgensen, University of Iowa, Iowa City, IA


This self-contained book deals with the tools for important
applications to signal processing, communications engineering,
computer graphics algorithms, qubit algorithms and chaos theory, and
is aimed at a broad readership of graduate students, practitioners, and
researchers in applied mathematics and engineering. The book is also
useful for other mathematicians with an interest in the interface
between mathematics and communication theory.


Applied Numerical Harmonic Analysis
Birkhauser
Due 3/2002 / Approx. 280 pp., 100 illus. / Hardcover
ISBN 0-8176-4280-3


A PDF file of the publisher's announcement may be seen on the Web at
http://www.math.uiowa.edu/~jorgen/wavelets_through_a_looking_glass.pdf


------------------------------


Date: Thu, 25 Oct 2001 13:29:18 +0100
From: "WERNER BAENI" <[e-mail]>
Subject: #3 Book: Wavelets - eine Einfuehrung fuer Ingenieure (in German)


Baeni, Werner
Wavelets - eine Einfuehrung fuer Ingenieure
Oldenbourg Verlag, Muenchen, 2001
EUR 29.80, ISBN 3-486-25427-8


This book in German language is meant to help fill the gap between
publications of high scientific level and popularized representations
of wavelet theory.  It is aimed at students in natural and engineering
sciences at undergraduate level and is both suited for class courses
or self-study. MATLAB examples and solutions of exercises can be
downloaded from the publishers' website:
 
http://www.oldenbourg.de/verlag/aktuelles/download.htm


Further information:
http://www.oldenbourg.de/cgi-bin/rotitel?T=25427
http://www.hta-bu.bfh.ch/e/mat/ebene1/ebene2/wavbuch.htm 
 
Contents (in German): 


1. Einleitung 
   Orthogonale Funktionensysteme - Wavelet-Reihen - Historischer Ueberblick 
2. Haar-Wavelets und Haar-Filter Am transparenten Beispiel von Haar
   werden schon grosse Teile der Theorie erlaeutert, bis hin zu
   Anwendungen wie Bildkompression oder der "pyramidalen"
   Bilddarstellung
3. Filterbaenke 
   Digitalfilter - Frequenzgang - Perfect Reconstruction Filterbaenke
   - Subband Coding  
4. Multiskalen-Analyse (MSA) 
   Konstruktion der Wavelets aus einer MSA - schnelle
   Wavelettransformation  
5. Konstruktion von Wavelet-Filtern 
   Daubechies-Filter - biorthogonale Spline-Filter - das "FBI-Filter"
   - Coifman-Filter  
6. Vom Filter zur Skalierungsfunktion 
   Konstruktion der Skalierungsfunktion - Regularitaet 
7. Ergaenzungen 
   Separable 2D-Wavelets - M-Band-Wavelets - Multiwavelets -
   Wavelet-Pakete -   lokale trigonometrische Basen 
8. Kontinuierliche Transformation 
   Kurzzeit-Fouriertransformation - kontinuierliche
   Wavelettransformation -   der "algorithme a trous" 
9. Anwendungen 
   Datenkompression - Unterdrueckung von Rauschen - Modulation
   digitaler Daten -  Numerische Behandlung von Randwertproblemen -
   Kantenerkennung in Bildern - Analyse von EEG's 
10. Anhang: Grundlagen 
   Fouriertransformation - diskrete Signale, Abtasttheorem - z-Transformation


Author:
Baeni Werner
HTA Burgdorf
(Berne University of Applied Sciences)
Jlcoweg 1
CH-3400 Burgdorf
e-mail: [e-mail]


------------------------------


Date: Thu, 15 Nov 2001 13:43:43 -0600
From: "Arthur Petrosian" <[e-mail]>
Subject: #4 Book: Wavelets in Signal and Image Analysis


BOOK ANNOUNCEMENT:


      Wavelets in Signal and Image Analysis
      From Theory to Practice


      edited by
      Arthur A. Petrosian
      Texas Tech University, Lubbock, USA
      Fran=E7ois G. Meyer
      University of Colorado at Boulder, USA


      Kluwer Academic Publishers, Hardbound, ISBN 1-4020-0053-7
      October 2001 , 556 pp.
      EUR 155.00 /  USD 143.00 /  GBP 86.00


This edited volume contains 4 chapters: I) Wavelets Design; II) 
Multiscale Analysis, Estimation, and Filtering; III) Signal and Image 
Compression; IV) Applications in Biomedicine and Other Fields.  The 
presented by 17 contributing authors papers range with topics from 
latest theoretical developments to various practical applications in 
biomedicine, seismic data analysis, and electromechanical equipment 
condition monitoring. More details on Contents can be found at below 
Kluwer site (the book can be ordered directly from Kluwer or from 
Amazon.com):


http://id132.wkap.nl/prod/b/1-4020-0053-7
http://www.amazon.com/exec/obidos/ASIN/1402000537/qid=3D1005753418/sr=3D8=-1/ref=3Dsr_8_5_1/002-0273130-8088058


Readership: Graduate students, researchers, academics/lecturers and =
industrialists.=20


Dr. Arthur A. Petrosian, Ph.D., Associate Professor
Texas Tech University Health Sciences Center
3601 4th Str., Lubbock, Texas, 79430
Phone: [phone]
Fax: [phone]
E-mail: [e-mail]


------------------------------


Date: Fri, 28 Sep 2001 19:39:07 +0800
From: Peter Wai-tat Tse <[e-mail]>
Subject: #5 Preprint: Wavelet Analysis and Envelope Detection...


Title:
Wavelet Analysis and Envelope Detection For Rolling Element Bearing Fault 
Diagnosis - Their Effectiveness and Flexibilities.


Abstract:
The components which often fail in a rolling element bearing are the 
outer-race, the inner-race, the rollers, and the cage. Such failures 
generate a series of impact vibrations in short time intervals, which occur 
at Bearing Characteristic Frequencies (BCF). Since BCF contain very little 
energy, and are usually overwhelmed by noise and higher levels of 
macro-structural vibrations, they are difficult to find in their frequency 
spectra when using the common technique of Fast Fourier Transforms (FFT). 
Therefore, Envelope Detection (ED) is always used with FFT to identify 
faults occurring at the BCF. However, the computation of ED is complicated, 
and requires expensive equipment and experienced operators to process. 
This, coupled with the incapacity of FFT to detect non-stationary signals, 
makes wavelet analysis a popular alternative for machine fault diagnosis. 
Wavelet analysis provides multi-resolution in time-frequency distribution 
for easier detection of abnormal vibration signals. From the results of 
extensive experiments performed in a series of motor-pump driven systems, 
the methods of wavelet analysis and FFT with ED are proven to be efficient 
in detecting some types of bearing faults. Since wavelet analysis can 
detect both periodic and non-periodic signals, it allows the machine 
operator to more easily detect the remaining types of bearing faults which 
are impossible by the method of FFT with ED. Hence, wavelet analysis is a 
better fault diagnostic tool for the practice in maintenance.
Source:
Tse P., Peng Y.H. and Yam R., "Wavelet Analysis and Envelop Detection For 
Rolling Element Bearing Fault Diagnosis - Their Effectiveness and 
Flexibility", Transactions of the ASME: Journal of Vibration and Acoustics, 
Vol. 123(3), July, 2001, pp.303-310.


Title:
An Effective and Portable Electronic Stethoscope for Fault Diagnosis by 
Analyzing the Machine Running Sound Directly


Abstract:
Machine sound is a typical kind of non-stationary signal which carries 
information regarding the operating conditions of the machine. In the past, 
human ears had been used for detecting any abnormality occurring in a 
machine as the method of hearing was simple and fast. However, the audible 
range of human hearing is broadband and has a low signal-to-noise ratio, 
making the method inefficient. The invention of Fast Fourier Transforms 
(FFT) for vibration based machine fault diagnosis helps to increase the 
efficiency in diagnosis. However, FFT fails to detect the transitory 
characteristics of signals that are fault related. Moreover, the cost of a 
FFT based analyzer is expensive and the accessibility of a wired transducer 
is limited. Therefore, we are proposing the use of hearing method again - 
not from a pair of human ears, but from an electronic stethoscope. We use 
Continuous Wavelet Transforms (CWT) to remove noise from raw machine 
running sound signals and detect non-stationary impulses generated from the 
impacts of defective components. The method of Trajectory Parallel Measure 
(TPM) is then used for fault detection and classification. From the results 
of testing a number of similar type of gas engines, the concept of 
electronic stethoscope, which uses CWT and TPM to diagnose fault by 
analyzing the machine running sound directly, is found to be feasible and 
promising.
Source:
Tse P., Xu G., Qu L., and Kumara S., "An Effective and Portable Electronic 
Ear for Fault Diagnosis Using Machine Operating Sound Directly", 
International Journal of Acoustics and Vibration, an affiliated Journal of 
the Institute of Acoustics and Vibration (IIAV), Vol. 6(1), March 2001, pp. 
23-31.


Thank you for your earliest attention.


Regards,


Peter Tse


Ir. Dr. Peter W. Tse
Director, Smart Asset Management Research Laboratory
Department of Manufacturing Engineering & Engineering Management
City University of Hong Kong
Tat Chee Ave., Kowloon, Hong Kong
Tel:[phone]  Fax:[phone] E-mail:[e-mail]
Web Site: http://www.cityu.edu.hk/meem/samrl/ and