• DocumentCode
    3310350
  • Title

    Simulation of nonlinear systems with sparse input vectors using CRC technique

  • Author

    Farahani, Shahin ; Darbanian, Nazanin ; Kiaei, Sayfe

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2004
  • fDate
    1-4 Aug. 2004
  • Firstpage
    168
  • Lastpage
    172
  • Abstract
    The cross referenced coordinate (CRC) method is introduced for computationally efficient analysis and simulation of nonlinear systems encountering a class of sparse vectors. In the CRC technique, the non-zero sections of the vector are used to form a matrix known as the CRC equivalent representation of the sparse vector. The system operators, including convolution, have been modified to operate with these equivalent matrices. A non-iterative algorithm is developed to provide the solution to nonlinear dynamic systems. In contrast to existing solutions, convergence of this algorithm is not an issue. A general purpose MATLAB toolbox is presented which is capable of CRC method based simulation of nonlinear systems.
  • Keywords
    matrix algebra; nonlinear systems; signal processing; MATLAB toolbox; computationally efficient analysis; convolution; cross referenced coordinate method; equivalent matrices; noniterative algorithm; nonlinear dynamic systems; nonlinear systems; signal processing; sparse input vectors; Analytical models; Computational modeling; Convolution; Cyclic redundancy check; Discrete Fourier transforms; Helium; Nonlinear equations; Nonlinear systems; Radio frequency; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 2004 and the 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th
  • Print_ISBN
    0-7803-8434-2
  • Type

    conf

  • DOI
    10.1109/DSPWS.2004.1437935
  • Filename
    1437935