Physics of Particles and Nuclei Letters

, Volume 7, Issue 4, pp 285–290 | Cite as

A new algorithm of active suppression of noise signals in real time measurements

  • V. A. Kalinnikov
Computer Technologies in Physics
  • 18 Downloads

Abstract

A new algorithm of the suppression of pickup noise and background in information signals in real time measurements is considered. This algorithm is based on a recurrent method of spectral-coefficient measurements of noise component in an analyzed signal and a recursive filtration algorithm for its suppression. Using recurrent calculations in the new algorithm makes it possible to perform a dynamic spectral measurements of information signals in real time, which are not possible to do by classical algorithms of spectral transformations due to time restrictions.

Keywords

Nucleus Letter Noise Component Spectral Estimate Real Signal Time Diagram 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    A. B. Sergienko, Digital Signal Processing (Piter, St. Petersburg, 2002) [in Russian].Google Scholar
  2. 2.
    L. R. Rabiner and B. Gold, Theory and Application of Digital Signal Processing (Mir, Moscow, 1978; Prentice-Hall, Englewood Cliffs, N.J., 1975).Google Scholar
  3. 3.
    G. I. Budker, “Accelerators with Colliding Particle Beams,” Usp. Fiz. Nauk 89, 533–547 (1966) [Sov. Phys. Usp. 9, 534 (1966)].Google Scholar
  4. 4.
    I. M. Dremin, “Physics at the Large Hadron Collider,” Usp. Fiz. Nauk 179, 571–579 (2009) [Phys. Usp. 52, 571 (2009)].CrossRefGoogle Scholar
  5. 5.
    R. Bartolini et al., “Algorithms for a Precise Determination of the Betatron Tune,” in Proc. of the 5th Eur. Partile Accel. Conf. (Barcelona, 1996), pp. 247–249.Google Scholar
  6. 6.
    R. E. Shafer, “Characteristic’s of Directional Coupler Beam Position Monitors,” IEEE Trans. Nucl. Sci. 32, 1933–1937 (1985).CrossRefADSGoogle Scholar
  7. 7.
    H. Ott, Noise Reduction Techniques in Electronic Systems (Wiley, New York, 1988; Mir, Moscow, 1979).Google Scholar
  8. 8.
    V. V. Vityazev, Optimum Design of Multistage Digital Filter Structures Using Signal Processors (Elektrosvyaz’, Moscow, 1992) [in Russian].Google Scholar
  9. 9.
    V. A. Kalinnikov, “Application of Multiple-Valued Logic in Digital Technology (Review),” Prib. Tekh. Eksp., No. 6, 5–17 (2006) [Instrum. Exp. Tech. 49, 743 (2006)].Google Scholar
  10. 10.
    V. A. Kalinnikov, “New Algorithms of Discrete Transformations for Digital Spectral Measurements of Non-Stationary Signals in Real Time,” Preprint JINR R11-2007-11 (Dubna, 2007).Google Scholar
  11. 11.
    V. A. Kalinnikov, “A Digital Dynamic Amplitude-Frequency Spectrum Analyzer,” Prib. Tekh. Eksp., No. 4, 62–67 (2006) [Instrum. Exp. Tech. 49, 506 (2006)].Google Scholar
  12. 12.
    V. A. Kalinnikov, A. V. Belinskii, and V. V. Gusev, “Spectrum Analyzer for Technical Systems,” Avtom. Sovrem. Tekhnol., No. 6, 28–34 (1990).Google Scholar
  13. 13.
    V. A. Kalinnikov, A. V. Belinskii, and V. V. Gusev, USSR Inventor’s Certificate No. 1699291, 2006.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2010

Authors and Affiliations

  • V. A. Kalinnikov
    • 1
  1. 1.Joint Institute for Nuclear ResearchDubnaRussia

Personalised recommendations