• DocumentCode
    2350900
  • Title

    Computation of signal threshold crossing times directly from higher order moments

  • Author

    Ismail, Yehea I. ; Amin, Chirayu S.

  • Author_Institution
    Dept. of ECE, Northwestern Univ., Evanston, IL, USA
  • fYear
    2004
  • fDate
    7-11 Nov. 2004
  • Firstpage
    246
  • Lastpage
    253
  • Abstract
    This work introduces a simple method for calculating the times at which any signal crosses a pre-specified threshold voltage (e.g. 10%, 20%, 50%, etc.) directly from the moments. The method can use higher order moments to asymptotically improve the accuracy of the estimated crossing times. This technique bypasses the steps involved in calculating poles and residues to obtain time-domain information. Once q moments are calculated, only 2q multiplications and (q-I) additions are required to determine any threshold crossing time at a certain node. Moreover, this technique avoids other problems such as pole instability. Several orders of approximations are presented for different threshold crossing times depending on the number of moments involved. For example, the worst case error of a first to a seventh order (single to seven moments) approximation of 50% RC delay is 1650%, 192.26%, 11.31%, 3.37%, 2.57%, 2.56%, and 1.43%, respectively. If the whole waveform is required it can be easily determined by interpolation between different threshold crossing points. The presented technique works for RC circuits for both step and nonstep inputs, including piecewise linear waveforms.
  • Keywords
    method of moments; network analysis; time-domain analysis; waveform analysis; RC circuits; RC delay; piecewise linear waveforms; signal threshold crossing time; threshold voltage; time-domain information; Circuits; Data mining; Delay effects; Delay estimation; Interpolation; Piecewise linear approximation; Piecewise linear techniques; Reduced order systems; Threshold voltage; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Design, 2004. ICCAD-2004. IEEE/ACM International Conference on
  • ISSN
    1092-3152
  • Print_ISBN
    0-7803-8702-3
  • Type

    conf

  • DOI
    10.1109/ICCAD.2004.1382581
  • Filename
    1382581