Advertisement

Gradient Model Generation

  • Frederico A. E. Rocha
  • Ricardo M. F. Martins
  • Nuno C. C. Lourenço
  • Nuno C. G. Horta
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

This chapter illustrates the Gradient Model generation. The circuit is first sampled using either the Full Factorial or the Fractional Factorial Design of Experiments (DOE) techniques, and then the main effect is used to extract the gradient rules which compose the Gradient Model.

Keywords

Analog IC design Design of experiments Full factorial design Fractional factorial design Gradient model 

References

  1. 1.
    J. Antony, N. Capon, Teaching experimental design techniques to industrial engineers. Int. J. Eng. 5, 335–343 (1998)Google Scholar
  2. 2.
    D.C. Montgomery, Design and Analysis of Experiments, 5th edn. (Wiley, New York, 2001)Google Scholar
  3. 3.
    K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)Google Scholar

Copyright information

© The Author(s) 2014

Authors and Affiliations

  • Frederico A. E. Rocha
    • 1
  • Ricardo M. F. Martins
    • 1
  • Nuno C. C. Lourenço
    • 2
  • Nuno C. G. Horta
    • 3
  1. 1.Instituto de TelecomunicaçõesLisbonPortugal
  2. 2.Instituto Técnico SuperiorLisbonPortugal
  3. 3.IST/IT—Integrated Circuits GroupInstituto Superior TécnicoLisbonPortugal

Personalised recommendations