• DocumentCode
    2337523
  • Title

    Characterization of noise generators: automated measuring system for the determination of the probability distribution and autocorrelation functions

  • Author

    Girão, P. Silva

  • Author_Institution
    Dept. of Electr. Eng., Tech. Univ. Lisbon, Portugal
  • fYear
    1994
  • fDate
    10-12 May 1994
  • Firstpage
    533
  • Abstract
    This paper describes a computer based measuring system dedicated to the determination of both the probability distribution function and autocorrelation function of a noise signal. The system, conceived as a sequential one, is hybrid, with most of the necessary manipulation of signals performed in the analog domain. Details of both hardware and software implementation, as well as results obtained for a Gaussian band limited noise generator, are presented. The system is particularly suited not only to calculate the power spectral density of a signal (using Wiener-Khintchine theorem) and cross-correlation between two signals, but also to recover periodic signals buried in noise
  • Keywords
    automatic test equipment; correlation methods; electric noise measurement; electric variables measurement; electronic equipment testing; noise generators; probability; signal processing equipment; stochastic systems; Gaussian band limited noise generator; Wiener-Khintchine theorem; analog domain; autocorrelation function; autocorrelation functions; automated measuring system; computer based measuring system; cross-correlation; hardware; noise; noise generators; periodic signals; power spectral density; probability distribution; probability distribution function; software; Autocorrelation; Electric variables measurement; Noise generators; Noise measurement; Power measurement; Probability distribution; Signal processing; Stochastic resonance; Time measurement; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
  • Conference_Location
    Hamamatsu
  • Print_ISBN
    0-7803-1880-3
  • Type

    conf

  • DOI
    10.1109/IMTC.1994.351881
  • Filename
    351881