Skip to main content
SpringerLink
Log in

A2 paradox in statistical processing of weak signals

  • Published:
Automatic Control and Computer Sciences Aims and scope Submit manuscript

Abstract

A statistical method for the detection and conversion of weak ultrabandwidth radar signals in a mode of small sample size is investigated by means of modeling and analytic calculations. The newly discovered and demonstrated phenomenon in signal processing is called the A2 paradox.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Kruminsh, K.Ya. and Broks, Ya.K., Statistical Methods of Processing a Radar Signal in a Discrete Stroboscopic Receiver, in Trudy mezhdunarodnogo seminara. Informatsionnye tekhnologii i sistemy dlya komp’yuternogo issledovaniya, upravleniya i kontrolya dinamicheskikh ob’ektov (Proceedings of an International Seminar. Information Technologies and Systems for Computer Study, Regulation, and Control of Dynamic Objects), INFOTEH 93, Rĩga, 1993, pp. 44–48.

  2. Kruminsh, K. and Zaytsev, O., Discrete Sampling Transforms of the Signals Masked in the Noise, in Proc. 1997 Int. Workshop on Sampling Theory and Applications, University of Aveiro, Portugal, pp. 103–108.

  3. Kruminsh, K. and Zaytsev, O., Methods of the Discrete Sampling Transform in the Mode of a Little Number of the Samples, Statiska-2000, Zinãtnisko raktsu krãjums, Riga, 2000.

  4. Lorencs, A.A., Krũmiņš, K., and Krastiņa, J., “η-paradokss” statistiskajã signãlapstrãdẽ. II Pasaules Latviešu Zinãtnieku Congress. Tẽžu krãjums. Rĩga, 2001.

  5. Kruminsh, K.Ya., Lorencs, A., and Krastina, I., Transformation in a priori Data on a Noisy Signal by the Statistical Method in Discrete Stroboscope, Avtom. Vychisl. Tekh. (Riga), 2003, no. 4, pp. 3–8.

  6. Lorencs, A.A., Solution of η-paradox in Statistical Processing of a Signal, Avtom. Vychisl. Tekh. (Riga), 2003, no. 6, pp. 27–41.

  7. Lorencs, A.A., Local Properties of one Method for Statistical Processing of a Signal, Avtom. Vychisl. Tekh. (Riga), 2002, no. 5, pp. 3–17.

  8. Kruminsh, K., Lorencs, A.A., and Yakobsons, A.A., Biasedness Paradox in Statistical Processing of Signals, Elektronika ir Electrotechnika, 2003, no. 3(45), pp. 45–48.

  9. Kruminsh, K., Karklinsh, V., and Plocinsh, V., The Statistical Method in the Mode of Detection and Conversion of Weak Signals, Avtom. Vychisl. Tekh. (Riga), 2006, no. 4, pp. 23–32.

Download references

Author information

Authors and Affiliations

  1. Institute of Electronics and Computer Technology, Latvia University, ul. Dzerbenes 14, Riga, LV-1006, Latvia

    K. Kruminsh, A. Lorencs & V. Plocinsh

Authors
  1. K. Kruminsh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Lorencs
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. V. Plocinsh
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Original Russian Text © K. Kruminsh, A. Lorencs, V. Plocinsh, 2007, published in Avtomatika i Vychislitel’naya Tekhnika, 2007, No. 1, pp. 3–14.

About this article

Cite this article

Kruminsh, K., Lorencs, A. & Plocinsh, V. A2 paradox in statistical processing of weak signals. Aut. Conrol Comp. Sci. 41, 1–9 (2007). https://doi.org/10.3103/S0146411607010014

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0146411607010014

Key words

Search

Navigation