• DocumentCode
    2911327
  • Title

    Towards precise, scalable and automatic analysis of analog and mixed signal circuits

  • Author

    Lodhi, Faiq Khalid ; Ramzan, Nadra ; Hasan, Osman

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    These days Analog and Mixed signal (AMS) circuits are widely being designed and used in many safety and financial critical application domains. This fact brings the challenge of efficiently and accurately analyzing of these AMS circuits as an analysis error could result in a big financial loss. Traditionally, AMS circuits have been analyzed using paper-and-pencil proof methods or computer simulations. But these methods cannot cope with the growing complexities of AMS designs. In this paper, we propose a computer algebra system based analyzer for AMS designs. The distinguishing features of the proposed approach include its scalability, precision and automatic nature. For illustration purposes, we analyze the Impulse generator circuit using the proposed approach and compare our results with the ones obtained by simulation and paper-and-pencil proof methods.
  • Keywords
    circuit analysis computing; mixed analogue-digital integrated circuits; process algebra; pulse generators; Impulse generator circuit; analog and mixed signal circuits; automatic analysis; computer algebra system; computer simulations; paper-and-pencil proof methods; Circuit analysis; Computational modeling; Differential equations; Equations; Generators; Integrated circuit modeling; Mathematical model; Computer Algebra Systems (CAS); Impulse Generator Circuit; MAXIMA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Emerging Technologies (ICIET), 2010 International Conference on
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4244-8001-2
  • Type

    conf

  • DOI
    10.1109/ICIET.2010.5625693
  • Filename
    5625693