• DocumentCode
    309268
  • Title

    Applications of symbolic network analysis

  • Author

    Topa, Marina Dana ; Simion, Emil

  • Author_Institution
    Tech. Univ., Cluj-Napoca, Romania
  • Volume
    1
  • fYear
    1996
  • fDate
    13-16 Oct 1996
  • Firstpage
    108
  • Abstract
    Symbolic network analysis is a formal technique, complementary to numerical analysis, to calculate the behaviour or a characteristic of a circuit with independent variable frequency, dependent variables voltages and currents and some or all of the circuit elements represented by symbols. The evaluation of the symbolic functions is much easier and faster than working repeatedly with a numerical simulator. A program for symbolic network analysis, of lumped linear or linearised time invariant circuits is presented. The network functions and their sensitivities with respect to the element values are computed with a matrix-based method, using symbolic manipulation of algebraic expressions. An interesting application of the symbolic network analysis is noise computation, one of the most difficult tasks that an analog engineer must perform. Symbolic expressions for the system noise measures are obtained
  • Keywords
    circuit noise; linear network analysis; lumped parameter networks; symbol manipulation; dependent variables; formal technique; independent variable; linearised time invariant circuits; lumped linear circuits; matrix-based method; network functions; noise computation; symbolic functions; symbolic manipulation; symbolic network analysis; Circuit noise; Circuit simulation; Computational modeling; Computer networks; Frequency; Numerical analysis; Numerical simulation; Performance analysis; Transfer functions; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
  • Conference_Location
    Rodos
  • Print_ISBN
    0-7803-3650-X
  • Type

    conf

  • DOI
    10.1109/ICECS.1996.582705
  • Filename
    582705