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         Signal Processing:     more books (100)
  1. Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory by Steven M. Kay, 1998-02-06
  2. Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach by Daniel E. Wahl, Paul H. Eichel, et all 1996-01-31
  3. Fundamentals of Digital Signal Processing by Joyce Van de Vegte, 2001-06-24
  4. Real-Time Digital Signal Processing: Implementations and Applications by Sen M. Kuo, Bob H. Lee, et all 2006-06-05
  5. The Digital Signal Processing Handbook (Electrical Engineering Handbook)
  6. Algorithm Collections for Digital Signal Processing Applications Using Matlab by E.S. Gopi, 2007-09-20
  7. An Introduction to Statistical Signal Processing by Robert M. Gray, Lee D. Davisson, 2010-02-18
  8. Acoustic MIMO Signal Processing (Signals and Communication Technology) by Yiteng Huang, Jacob Benesty, et all 2010-11-02
  9. Discrete Random Signals and Statistical Signal Processing/Book and Disk (Prentice-Hall Signal Processing Series) by Charles W. Therrien, 1992-04
  10. Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory(v. 1) by Steven M. Kay, 1993-04-05
  11. Multidimensional Digital Signal Processing (Prentice-Hall Signal Processing) by Dan E. Dudgeon, Russell M. Mersereau, 1984-06
  12. C++ Algorithms for Digital Signal Processing (2nd Edition) by Paul Embree, Damon Danieli, 1998-11-23
  13. Digital Processing of Speech Signals by Lawrence R. Rabiner, Ronald W. Schafer, 1978-09-15
  14. Introductory Digital Signal Processing with Computer Applications, 2E by Paul A. Lynn, Wolfgang Fuerst, 1998-04

121. Micronet MD DSP Group Home Page - Calgary Centre
Elec. and Computer Eng. Home Page. Research Topics. Our research group focuses on the theory and applications of multidimensional (MD) signal processing.
http://www-mddsp.enel.ucalgary.ca/
The Multidimensional Signal Processing (MDSP) Research Group Principal Investigator - Dr. Len Bruton, FRSC, FIEEE, P.Eng.
logo by Don Dansereau Welcome, you are our visitor no: 67,171 Table of Contents Principal Investigator Graduate Students Research Topics MPEG Demos ... Exit to Dept. Elec. and Computer Eng. Home Page Research Topics Our research group focuses on the theory and applications of multidimensional (MD) signal processing. Current and past work has been internationally and nationally recognized and has received a number of international and national awards We carry out research on such topics as:
  • Reduced complexity 2D/3D Fan/Cone FIR Filters for plane wave filtering and beamforming Synthesis, design and real-time VLSI circuit implementations of 2D, 3D and 4D filters, including 3D Cone Filter Banks, for selectively filtering or jamming of spatio-temporal plane waves and beamforming Enhancement of and tracking of objects in video sequences using 2D, 3D and 4D filters object extraction from 4D lightfields using 4D filters Real-time enhancement and jamming of sampled broadband spatio-temporal plane waves using Analog 2D and 3D filters Adaptive 2D and 3D filters for Tracking Objects in Video Sequences and in Acoustical Images 3D modeling of Human Faces for Videoconferencing Real-time enhancement of Damaged Movie Films Real-time Data Hiding in and Watermarking of Video Sequences Lossless Image Compression of Color Video Sequences Image Compression Using Fractal Block Processing (see

122. Acoustic, Noise & Sonar Engineering Courses And Technical Training Seminars
ATI is a technical training organization specializing in short courses, seminars and professional development technical training in defense, sonar, radar, and signal processing. ATI provides public seminars and onsite training.
http://www.aticourses.com/acoustics_courses.htm
ANY Course can be held at your site for 6+ people.
Call ATI at 888-501-2100

Please feel free to print and circulate these seminar outlines: Please see our Schedule of ATI Courses for current course dates and locations or email us at ATIcourses@aol.com or call toll free 1-888-501-2100 to find out more about scheduling courses for you.
ATI's Active Noise Control course
Dr. Graham Eatwell, Dr. Dexter G. Smith, Instructors
Summary This three day course is designed for product development engineers, signal processing and control engineers, and managers who wish to enhance their understanding of this evolving technology and to apply it to real world applications. Each topic is illustrated with derivations, demos, and/or worked out examples. Instructors Dr. Graham Eatwell has more than 17 years of experience in adaptive signal processing and acoustics. He was a co-founder of 2020 Science Ltd., which developed the world's first commercial active noise control system for propeller aircraft cabins. He was Chief Technology Officer at Noise Cancellation Technologies, where he was responsible for the development of numerous commercial applications of active noise control. He has more than 20 U.S. patents and patent applications in the areas of Active Noise Control and Signal Enhancement. In 1996, Dr Graham Eatwell founded ADAPTIVE AUDIO INC., which provides consultancy and technology licensing in adaptive signal processing.

123. WaveLab802
free WaveLab is a library of MATLAB routines for wavelet analysis, waveletpacket analysis, cosine-packet analysis and matching pursuit.
http://www-stat.stanford.edu/~wavelab
WAVELAB 802
for Matlab5.x
Current Release
David Donoho
Mark Reynold Duncan

Xiaoming Huo

Ofer Levi Major Contributions from Jon Buckheit
Maureen Clerc
Jerome Kalifa
Stephane Mallat
Thomas Yu
What is Wavelab?
WaveLab is a collection of Matlab functions that have been used by the authors and collaborators to implement a variety of computational algorithms related to wavelet analysis. A partial list of the techniques made available:
  • orthogonal wavelet transforms,
  • biorthogonal wavelet transforms,
  • translation-invariant wavelets,
  • interpolating wavelet transforms,
  • cosine packets,
  • wavelet packets,
  • matching pursuit,
and a lot more... It includes more than 1100 Matlab files, datasets, and demonstration scripts. Some computationally expensive routines have been implemented as Matlab MEX functions. Here is a more detailed introduction.
What is new?
For the new version (WaveLab802), we add in scripts to reproduce many figures for the book A Wavelet Tour of Signal Processing A new browser has been added for Mallat's book.

124. Clear, Efficient Musical Signal Processing In ANSI C
Clear, Efficient Audio signal processing in ANSI C. Two books specifically about signal processing in C have recently become available Reid, David.
http://cnmat.cnmat.berkeley.edu/~adrian/Csigproc.html
Center for New Music and Audio Technologies Calendar People Site Map Research ... Downloads
Clear, Efficient Audio Signal Processing in ANSI C
Adrian Freed
Introduction
The popularity of the C programming language and its derivatives in signal processing applications is increasing. Two books specifically about signal processing in C have recently become available [Reid, David]. A broad collection of numerical algorithms with implementations in C, Fortran and Pascal has been available for some years [Press]. Efforts are underway to develop an ANSI standard for Digital Signal Processing extensions to C [Leary]. A discussion of the advantages and disadvantages of C for numerical computing may be found in [MacDonald]. When a new reduced instruction set computer (RISC) or digital signal processor (DSP) is introduced a C compiler is one of the first high level development tools available. The wide availability of compilers and the ease with which portable applications may be written has prompted the use of C as a target language for other programming languages, such as C++, Pascal and Fortran and for higher level tools, such as the Ptolemy system[Buck]. C is expressive enough to allow the careful programmer to obtain the numerical performance potential of a processor so important for many signal processing applications. This paper presents recommendations for efficiently implementing signal processing algorithms in C without sacrificing clarity or portability. These recommendations are derived from the author's experience implementing signal processing functions for musical applications [Freed 1992] with the MIPS R4000 [Kane] C compiler on a Silicon Graphics Indigo workstation. There is therefor a bias in the example code towards audio signal processing, but the recommendations apply to numerical computing in general.

125. Division Of Signal Processing
Division of signal processing. Welcome to the web pages for the Division of signal processing. Pictured above are members of the
http://www.sm.luth.se/csee/sp/
Division of Signal Processing Overview Research Staff Education Welcome to the web pages for the Division of Signal Processing. Page Editor: webmaster-sp@sm.luth.se Division homepage Department homepage
Overview
... Education
LULEÅ UNIVERSITY OF TECHNOLOGY Division of Signal Processing, Luleå University of Technology, SE-971 87 Luleå. Tel.+46.920.491000, fax +46.920.492043

126. WASPAA'97 Home Page
IEEE 1997 Workshop on Applications of signal processing to Audio and Acoustics.
http://www.ICSI.Berkeley.EDU/waspaa97/
IEEE 1997 Workshop on Applications of Signal Processing to Audio and Acoustics
Mohonk Mountain House
New Paltz, New York
October 19-22, 1997
The objective of the two-and-a-half day workshop is to provide an informal environment for the discussion of problems in audio and acoustics and of the signal processing techniques applied to these problems. Technical sessions are scheduled in the morning and before and after dinner; the afternoons have been left free for outdoor activities or informal meetings among the workshop participants.
There is now a web page for the 1999 Mohonk Audio Workshop (WASPAA'99) which will be chaired by Prof. Matti Karjalainen of the Helsinki University of Technology. Some of the committee members jotted down notes related to the workshop - mainly technical issues to do with electronic submissions. You can find them under The workshop is now over, but this page will remain visible. If you are interested in purchasing the paper version of the proceedings (60 papers, 278 pages), you can get it from the IEEE. Contact their Customer Service Department at 1-800-678-IEEE and quote the product number TH8278 (WASPAA'97).
  • My letter thanking the CD-ROM manufacturer

127. 2003 IEEE Workshop On Statistical Signal Processing :: Home
The signal processing Theory and Methods (SPTM) Technical Committee of the IEEE signal processing Society (SPS) announces the 2003 IEEE Workshop on Statistical
http://ssp03.wustl.edu/
Sponsored By
With Support From
Dates: Sept 28 - Oct 1, 2003 Location: Chase Park Plaza Hotel,
St. Louis, Missouri Contact: Prof. Daniel R. Fuhrmann,
Tel. (314) 935-6163
Email: danf@ee.wustl.edu
    Many thanks to all who helped make the workshop a success! Workshop proceedings are available through IEEE Xplore: http://ieeexplore.ieee.org

128. A205 Members
Protocol development and data security in wireless integrated networks.
http://www.warwick.ac.uk/~esrua/a205.html

129. Zbigniew Leonowicz, PhD
Contains curriculum vitae, research and interests description. Advanced methods of signal processing applied to power systems.
http://zleonowicz.republika.pl
leonowicz@ .org Search This Site The Web for Get a Free Search Engine for Your Web Site This page was last updated:

130. Handbook For Acoustic Ecology
Technical reference guide for sound recording and related fields such as electronic music, acoustical physics, and signal processing. Includes a keyword search.
http://www.sfu.ca/sonic-studio/

131. ENGnetBASE: Engineering Handbooks Online
signal processing Noise. Vyacheslav P. Tuzlukov.
http://www.engnetbase.com/ejournals/books/book_summary/summary.asp?id=913

132. Dolby Laboratories, Inc.
Developer of audio signal processing systems and manufacturer of professional equipment to implement these technologies in the motion picture, broadcasting, and music recording industries.
http://www.dolby.com/
Information Dolby Knowledgebase
What's New

Statistics

Press Releases
...
Dolby Digital
Licensing Information
Licensed Manufacturers
Trademarks Information Consumer Entertainment For Professionals Cinema
Pro Audio / Broadcast

Game Developers / Publishers
Company About Dolby
Manufacturing

People

Careers
... Careers @ Dolby Welcome to Dolby Laboratories Dolby Laboratories develops audio signal processing systems and manufactures professional equipment to implement these technologies in the motion picture, broadcasting, and music recording industries. Dolby also licenses these technologies for use in the consumer electronics industry. Providing the best possible audio for any entertainment environment, including music, movies, television and multimedia, is Dolby's primary commitment. Based in San Francisco with European headquarters in England, the privately held company has entertainment industry liaison offices in New York and Los Angeles and licensing liaison offices in Hong Kong, Shanghai, Beijing, and Tokyo. Dolby News Ray Dolby Honored at Cannes Film Festival - Cannes, France, May 17, 2004

133. Wavelets And Signal Processing
Wavelets and signal processing. It s true that the Torah the signal processing. A Notebook compiled while reading Understanding
http://www.bearcave.com/misl/misl_tech/wavelets/
Wavelets and Signal Processing
It's true that the Torah the visible Torah, that is is only one of the possible permutations of the letters of the eternal Torah, as God crated it and delivered it to the angels. By rearranging the letters of the book over the centuries, we may someday arrive again at the original Torah. But the important thing is not the finding, it is the seeking, it is the devotion with which one spins the wheel of the prayer and scripture, discovering the truth little by little.
Diotallevi in Foucault's Pendulum , by Umberto Eco Using the quote above is, perhaps, ironic, since the character, Diotallevi, in Umberto Eco's Foucault's Pendulum , goes on in the next sentence to denounce the use of computers as tools for seeking truth. Signal processing and filtering is, in its modest way, an attempt to find a better form for a set of information, either by reshaping it or filtering out selected parts (parts that are sometimes labeled as noise). Put another way, signal processing allows us to uncover a form of the signal that is closer to the truth (or a truth). Although we have powerful computing and mathematical tools, perhaps there is some value in taking Diotellevi warning to heart:

134. Kostas Fragos Home Page Biography And Publications
National Technical University of Athens. Statistical natural language processing, signal processing, neural networks.
http://nts.cc.ece.ntua.gr/nlp_lab

135. Sam Roweis, Toronto
Machine Learning , Nonlinear Manifolds , signal processing , DNA Computing
http://www.cs.toronto.edu/~roweis/
Sam Roweis www.cs.toronto.edu/~roweis Information Curriculum Vitae Schedule/Travel Info for Visitors ... Data Machine Learning at Toronto learning.cs.toronto.edu
Sam Roweis, Assistant Professor
Canada Research Chair in Statistical Machine Learning
Dept. Computer Science email : roweis [at] cs [dot] toronto [dot] edu University of Toronto voice 6 King's College Rd. fax Toronto, Ontario office : Pratt 290F M5S 3G4, CANADA info for visitors Materials:
  • Curriculum Vitae [ ps pdf
  • A brief bio
  • Info for prospective students
  • Quick link to my online papers
    Research Highlights:
    • A technical report and associated materials with Kannan Achan and Brenday Frey on a neat segmental HMM model for speech waveforms that does pitch tracking, timescale modification and more.
    Neat Stuff on the Radar:
    • Here in Toronto, Ben Marlin showed me this paper describing a very efficient almost-exact approximation to SVD. Ben has used this to vastly speed up some of our learning algorithms that compute intermediate SVDs in an inner loop.
    • On a recent trip to UBC, Hendrick Kueck showed me the cool alias method of Walker (1974) for quickly generating many samples from a known multinomial distribution. This method is described in detail, e.g. on p107 of Luc Devroye's
  • 136. Home
    Engineering services, research and development in signal processing, Computational Science and Error Analysis. Based in Sterling, VA, USA.
    http://signal-science.com/
    Home About Us Contact Us News ... Links Signal Science provides high level engineering services including:
    • Proof of Concept
    • Research and Development
    • System Engineering
    • Signal Processing
    • Computational Science
    • Error Analysis
    • Object Oriented Software Engineering and ReEngineering
    Home About Us Contact Us News ... Links

    137. NeuroTeam At The University Of Tübingen - Artificial Neural Networks For Biomed
    Neural networks for biomedical applications, sensory analysis, quality control and signal processing.
    http://www.Neuroteam.de/e_index.html
    Artificial neural networks for Biomedical
    applications Sensor analysis and
    processing of sensory data Quality
    control
    Proceed . . .

    Dept. Technische
    Informatik

    138. Jaynta
    Provides digital signal processing and IC design services.
    http://www.jaynta.com

    139. 2001 IEEE Workshop On Neural Networks For Signal Processing
    IEEE Workshop on Neural Networks for signal processing. Focuses on data mining and signal separation. To be held September 1012, 2001 in Falmouth, Massachusetts, USA.
    http://eivind.imm.dtu.dk/nnsp2001
    This page uses frames, but your browser doesn't support them.

    140. Chin Chye Koh
    Goleta, CA BSEE (MSEE Grad Student). Digital signal processing, matrix analysis, pattern recognition EMC, Matlab, C, VHDL, PSpice, Accel EDA.
    http://xanadu.ece.ucsb.edu/~chinkoh/resume.htm
    Chin-Chye Koh
    Image Processing Research Laboratory Department of Electrical and Computer Engineering University of California, Santa Barbara, CA 93106 Lab : (805) 893-8312, chinkoh@ece.ucsb.edu Objective : Internship Position in Image or Video Processing
    Educational History
    present University of California, Santa Barbara. Objective Ph.D. in Electrical Engineering Major Digital Signal Processing Interests Image and video processing, signal compression, video quality, March 2003 University of California, Santa Barbara. Degree MSc. in Electrical Engineering. Major Signal Processing Minor Communications Thesis title Compression Of Bayer Color Filter Array Data May 1998 Washington State University. Degree BSc. in Electrical Engineering Minor Mathematics Project Digital design of voice recorder with FPGA
    Published Papers
    Chin Chye Koh and Sanjit K. Mitra, "Compression of Bayer Color Filter Array Data," IEEE Proceedings International Conference on Image Processing 2003 , vol 2, pp 255-258, September 2003. Chin Chye Koh, Jayanta Mukherjee, and Sanjit K. Mitra, "New efficient methods of image compression in digital cameras with color filter array," IEEE Transactions Consumer Electronics , vol. 49, No. 4, pp. 1448-1456, November 2003.

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