Skip to main content
Erschienen in: Measurement Techniques 4/2017

17.08.2017

Techniques for Determining Robust Estimates of Correlation Functions for Random Noisy Signals

verfasst von: T. A. Aliev, N. E. Rzaeva

Erschienen in: Measurement Techniques | Ausgabe 4/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

We analyze difficulties and propose algorithms for determining robust estimates of correlation functions for random noisy signals in monitoring and control systems. Robustness conditions are satisfied by eliminating the effect of interference on the error of the estimates obtained for a useful signal, correlated or uncorrelated with interference.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat V. V. Solodovnikov, V. N. Plotnikov, and A. V. Yakovlev, The Theory of Automatic Control of Engineering Systems, Izd. MGTU im Baumana, Moscow (1993). V. V. Solodovnikov, V. N. Plotnikov, and A. V. Yakovlev, The Theory of Automatic Control of Engineering Systems, Izd. MGTU im Baumana, Moscow (1993).
2.
Zurück zum Zitat K. A. Pupkova and N. D. Egupova (eds.), Methods of Classical and Modern Theory of Automatic Control, Vol. 2, Static Dynamics and Identification of Automatic Control Systems, Izd. MGTU im Baumana, Moscow (2004). K. A. Pupkova and N. D. Egupova (eds.), Methods of Classical and Modern Theory of Automatic Control, Vol. 2, Static Dynamics and Identification of Automatic Control Systems, Izd. MGTU im Baumana, Moscow (2004).
3.
Zurück zum Zitat G. G. Rannev, Measuring Information Systems, Priborostroenie, Moscow (2010). G. G. Rannev, Measuring Information Systems, Priborostroenie, Moscow (2010).
4.
Zurück zum Zitat L. Lyung, Identification of Systems. Theory for the User, Nauka, Moscow (1991). L. Lyung, Identification of Systems. Theory for the User, Nauka, Moscow (1991).
5.
Zurück zum Zitat A. A. Alekseev, Yu. A. Korablev, and M. Yu. Shestopalov, Identification and Diagnostics of Systems, Izd. Ts. Akademia, Moscow (2009). A. A. Alekseev, Yu. A. Korablev, and M. Yu. Shestopalov, Identification and Diagnostics of Systems, Izd. Ts. Akademia, Moscow (2009).
6.
Zurück zum Zitat Gang Li, Limin Meng, Zhijiang Xu, and Jingyu Hua, “A novel digital filter structure with minimum roundoff noise,” Dig. Sign. Proc., 20, No. 4, 1000–1009 (2010).CrossRef Gang Li, Limin Meng, Zhijiang Xu, and Jingyu Hua, “A novel digital filter structure with minimum roundoff noise,” Dig. Sign. Proc., 20, No. 4, 1000–1009 (2010).CrossRef
7.
Zurück zum Zitat G. Y. Mehdiyeva, V. R. Ibrahimov, and M. N. Imanova, “Some refinement of the symmetry for the Volterra integral equations and the construction of symmetrical methods for solving them,” J. Comp. Appl. Math., 306, 1–9 (2016).CrossRefMATH G. Y. Mehdiyeva, V. R. Ibrahimov, and M. N. Imanova, “Some refinement of the symmetry for the Volterra integral equations and the construction of symmetrical methods for solving them,” J. Comp. Appl. Math., 306, 1–9 (2016).CrossRefMATH
8.
Zurück zum Zitat T. A. Aliev, Robust Technology with Analysis of Interference in Signal Processing, Kluwer Acad./Plenum Publishers, New York (2003).CrossRefMATH T. A. Aliev, Robust Technology with Analysis of Interference in Signal Processing, Kluwer Acad./Plenum Publishers, New York (2003).CrossRefMATH
9.
Zurück zum Zitat T. A. Aliev, Digital Noise Monitoring of Defect Origin, Springer, London (2007).MATH T. A. Aliev, Digital Noise Monitoring of Defect Origin, Springer, London (2007).MATH
10.
Zurück zum Zitat V. V. Petrov, “Noise immunity of measurements of the level of radiation of a moving acoustic source against a background of isotropic ambient noise when using a combined receiver,” Izmer. Tekhn., No. 1, 49–52 (2015). V. V. Petrov, “Noise immunity of measurements of the level of radiation of a moving acoustic source against a background of isotropic ambient noise when using a combined receiver,” Izmer. Tekhn., No. 1, 49–52 (2015).
11.
Zurück zum Zitat A. S. Glinchenko, A. M. Aleshechkin, and V. A. Komarov, “Increasing the reliability of spectral measurements of signal parameters for small signal-to-noise ratios,” Metrology, No. 3, 46–57 (2015). A. S. Glinchenko, A. M. Aleshechkin, and V. A. Komarov, “Increasing the reliability of spectral measurements of signal parameters for small signal-to-noise ratios,” Metrology, No. 3, 46–57 (2015).
12.
Zurück zum Zitat S. G. Sandomirsky, “Influence of measurement accuracy and range of variation of a physical quantity on the correlation coefficient between its true values and measurement results,” Izmer. Tekhn., No. 10, 13–17 (2014). S. G. Sandomirsky, “Influence of measurement accuracy and range of variation of a physical quantity on the correlation coefficient between its true values and measurement results,” Izmer. Tekhn., No. 10, 13–17 (2014).
13.
Zurück zum Zitat T. A. Aliev, G. A. Guluyev, F. H. Pashayev, and A. V. Sadygov, “Noise monitoring technology for objects in the transition to the emergency state,” Mech. Syst. Signal Proc., 27, 755–762 (2012).ADSCrossRef T. A. Aliev, G. A. Guluyev, F. H. Pashayev, and A. V. Sadygov, “Noise monitoring technology for objects in the transition to the emergency state,” Mech. Syst. Signal Proc., 27, 755–762 (2012).ADSCrossRef
14.
Zurück zum Zitat T. A. Aliev, A. M. Abbasov, Q. A. Guluyev, et al., “System of robust noise monitoring of anomalous seismic processes,” Soil Dyn. Earthq. Eng., 32. No. 1, 11–25 (2013).CrossRef T. A. Aliev, A. M. Abbasov, Q. A. Guluyev, et al., “System of robust noise monitoring of anomalous seismic processes,” Soil Dyn. Earthq. Eng., 32. No. 1, 11–25 (2013).CrossRef
Metadaten
Titel
Techniques for Determining Robust Estimates of Correlation Functions for Random Noisy Signals
verfasst von
T. A. Aliev
N. E. Rzaeva
Publikationsdatum
17.08.2017
Verlag
Springer US
Erschienen in
Measurement Techniques / Ausgabe 4/2017
Print ISSN: 0543-1972
Elektronische ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-017-1199-y

Weitere Artikel der Ausgabe 4/2017

Measurement Techniques 4/2017 Zur Ausgabe

WORLD METROLOGY DAY, MAY 20, 2017: MEASUREMENTS FOR TRANSPORT

Message from the BIPM Director