• DocumentCode
    1422288
  • Title

    Algorithmic specification of a specialized processor for spectrometric applications

  • Author

    Ben Slima, Mohamed ; Szczecinski, Leszek L. ; Massicotte, Daniel ; Morawski, Roman Z. ; Barwicz, Andrzej

  • Author_Institution
    Dept. de Genie Electr., Univ. du Quebec a Trois-Rivieres, Que., Canada
  • Volume
    49
  • Issue
    6
  • fYear
    2000
  • fDate
    12/1/2000 12:00:00 AM
  • Firstpage
    1224
  • Lastpage
    1230
  • Abstract
    The external and internal algorithmic specification of an application-specific digital signal processor under development, dedicated to spectrometric applications, is presented. The processor is intended to perform the correction of spectrometric data subject to errors of diversified origins, using sophisticated digital-signal-processing algorithms. The set of algorithms to be implemented in the processor is proposed. Its suitability for implementation in an application-specific integrated circuit is demonstrated by functional design of the corresponding processor
  • Keywords
    Kalman filters; VLSI; computational complexity; deconvolution; digital signal processing chips; least mean squares methods; rational functions; recursive estimation; signal reconstruction; DSP algorithms; Kalman filter; LMS estimation; MATLAB; VLSI architecture; application-specific digital signal processor; computational complexity; deconvolution; external algorithmic specification; functional design; internal algorithmic specification; parameter estimation; rational filter; recursive algorithm; signal reconstruction; specialized processor; spectrometric applications; Algorithm design and analysis; Digital signal processors; Distortion measurement; Instruments; Mass spectroscopy; Optical devices; Performance evaluation; Signal processing; Signal processing algorithms; Variable speed drives;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.893260
  • Filename
    893260