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         Signal Processing:     more books (100)
  1. Statistical Digital Signal Processing and Modeling by Monson H. Hayes, 1996-04-11
  2. Analog and Digital Signal Processing by Ashok Ambardar, 1999-02-12
  3. Signal Processing Study Guide: Fourier analysis, FFT algorithms, Impulse response, Laplace transform, Transfer function, Nyquist theorem, Z-transform, DSP Techniques,Image proc. & more by MobileReference, mobi, 2007-07-31
  4. Digital Signal Processing with Student CD ROM by Sanjit Mitra, 2010-09-13
  5. Digital Signal Processing 101: Everything you need to know to get started by Michael Parker, 2010-04-19
  6. Digital Signal Processing Using MATLAB (Bookware Companion) by Vinay K. Ingle, John G. Proakis, 2006-08-10
  7. Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) by James V. Candy, 2009-04-06
  8. Multidimensional Signal, Image, and Video Processing and Coding by John W. Woods, 2006-03-27
  9. Applied Signal Processing: A MATLAB-Based Proof of Concept (Signals and Communication Technology) by Thierry Dutoit, Ferran Marques, 2009-05-15
  10. Processing of Multidimensional Signals (Digital Signal Processing) by Alexandre Smirnov, 2010-11-02
  11. The Scientist & Engineer's Guide to Digital Signal Processing by Steven W. Smith, 1997
  12. Theory and Application of Digital Signal Processing by Lawrence R. Rabiner, 1975-06
  13. Sonar Signal Processing (Acoustics Library) by Richard O. Nielsen, 1991-05-01
  14. Two-Dimensional Signal and Image Processing by Jae S. Lim, 1989-09-11

21. Science : Technology : Electronics : Signal_Processing : - NoMoz.org
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- Contains data, papers, software, newsgroups, bibliographies. Links to other research and development sites. http://spib.rice.edu/ Bayesian Blind Source Separation - Describes the blind separation problem and attacks it from a Bayesian perspective. http://www.biophysics.mcw.edu/BRI-people/Rowe/BSSintro.html Institute of Electronics and Telematics Engineering, University of Aveiro, IEETA) - Theoretical work in the area of signal processing and interdisciplinary projects in the areas of healthcare. Based in Portugal. http://www.ieeta.pt/spl

22. Clinical Neurophysiology: Basic_Neurophysiology/Signal_Processing
Scilab, its use in Clinical Neurophysiology. Scilab is a powerful interactive open source programming environment that greatly facilitates the task of
http://www.neurophys.com/Basic_Neurophysiology/Signal_Processing/
Top Basic Neurophysiology : Signal Processing Contents Add a Site Modify a Site Random Link ...
  • Scilab, its use in Clinical Neurophysiology. Scilab is a powerful interactive open source programming environment that greatly facilitates the task of numerical computation and data analysis. This tutorial is directed to Clinical Neurophysiologists and tries to establish bridges between the different abilities required to acquire, process and analyze neurophysiological signals using Scilab. (Hits: 383 - Rating: 10.00 - Votes: 1) Rate/Review It! Home Add a Link Modify a Link ... Search
  • 23. Telco060623 Project: Signal_processing
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    24. [Orocos-Dev] [Bug 231] Move Signal_processing Package
    Will be added later to orocoscomponents. Deleting signal_processing Committed revision 5825. (this mail is best viewed with a fixed font) Configure
    http://lists.mech.kuleuven.be/pipermail/orocos-dev/2006-October/002526.html
    [Orocos-Dev] [Bug 231] move signal_processing package
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    Fri Oct 13 11:23:07 CEST 2006

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    28. En:research:sr:manuel:reference-manuel:signal_processing [Information Processing
    CDB. There are two classes of functions in the CDB defining a module and requesting informations about defined modules. While the latter is only used
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    29. BibSonomy :: User :: Timo
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    32. Class Hierarchy (gaspard Snapshot API)
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    39. Signal Processing/Lattice Predictors - Wikibooks, Collection Of Open-content Tex
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    Signal Processing/Lattice Predictors
    From Wikibooks, the open-content textbooks collection
    Signal Processing Jump to: navigation search Signal Processing
    edit Levinson-Durbin Algorithm
    The Levinson-Durbin Algorithm is a direct method to solve the augmented Wiener-Hopf equations for the lattice predictor-error coefficients and the predictor-error power. The Levinson-Durbin algorithm uses the filter coefficients of an order m filter to compute the coefficients of an order m + 1 order filter. There are two parts to the Levinson-Durbin Algorithm. The first part is a method to compute the tap-weight vector a m using the tap-weight vector of a lower-order filter, a m-1 In scalar form, this equation becomes:
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    edit Lattice Predictors
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    40. Scilab [trunk]: Scilab/modules/signal_processing/sci_gateway/c/gw_signal.c File
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    #include " callFunctionFromGateway.h "
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    Functions
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