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Signal Processing

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Engineering and Scientific Computing with Scilab

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Abstract

The purpose of this chapter is to illustrate the use of the Scilab software package in a signal-processing context. This section discusses the core signal-processing tools, which will include discussions on signal representation, FIR and IIR filter design, and spectral estimation.

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Authors and Affiliations

  1. INRIA Rocquencourt, Le Chesnay Cedex, 78153, France

    Claude Gomez (Coordinating Editor), François Delebecque, Maurice Goursat, Ramine Nikoukhah & Serge Steer

  2. BBN Technologies, Cambridge, MA, 02138, USA

    Carey Bunks

  3. École Nationale des Ponts et Chaussées, CERGRENE, Marne La Vallée Cedex 02, 77455, France

    Jean-Philippe Chancelier

Authors
  1. Claude Gomez
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  2. Carey Bunks
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  3. Jean-Philippe Chancelier
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  4. François Delebecque
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  5. Maurice Goursat
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  6. Ramine Nikoukhah
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  7. Serge Steer
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Editor information

Editors and Affiliations

  1. INRIA Rocquencourt, Le Chesnay Cedex, 78153, France

    Claude Gomez (Coordinating Editor), François Delebecque , Maurice Goursat , Ramine Nikoukhah  & Serge Steer (Coordinating Editor), , ,  & 

  2. BBN Technologies, Cambridge, MA, 02138, USA

    Carey Bunks

  3. École Nationale des Ponts et Chaussées, CERGRENE, Marne La Vallée Cedex 02, 77455, France

    Jean-Philippe Chancelier

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© 1999 Springer Science+Business Media New York

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Cite this chapter

Gomez, C. et al. (1999). Signal Processing. In: Gomez, C., et al. Engineering and Scientific Computing with Scilab. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1584-4_7

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  • DOI: https://doi.org/10.1007/978-1-4612-1584-4_7

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-7204-5

  • Online ISBN: 978-1-4612-1584-4

  • eBook Packages: Springer Book Archive

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