Problemy Peredachi Informatsii
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Probl. Peredachi Inf.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Problemy Peredachi Informatsii, 1990, Volume 26, Issue 3, Pages 101–106 (Mi ppi622)  

Сorrespondence

Signals with Two-Level Autocorrelation

A. L. Vishnevetskii
Abstract: Let $x$ be a periodic signal with a two-level autocorrelation function. We obtain a bound on the maximum modulus of the periodic cross-correlation function of the signal $x$ with an arbitrary signal. This bound is attained for any signal $x$.
Received: 01.02.1989
Bibliographic databases:
Document Type: Article
UDC: 621.391.1:519.2
Language: Russian
Citation: A. L. Vishnevetskii, “Signals with Two-Level Autocorrelation”, Probl. Peredachi Inf., 26:3 (1990), 101–106; Problems Inform. Transmission, 26:3 (1990), 281–285
Citation in format AMSBIB
\Bibitem{Vis90}
\by A.~L.~Vishnevetskii
\paper Signals with Two-Level Autocorrelation
\jour Probl. Peredachi Inf.
\yr 1990
\vol 26
\issue 3
\pages 101--106
\mathnet{http://mi.mathnet.ru/ppi622}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1082131}
\zmath{https://zbmath.org/?q=an:0719.94006}
\transl
\jour Problems Inform. Transmission
\yr 1990
\vol 26
\issue 3
\pages 281--285
Linking options:
  • https://www.mathnet.ru/eng/ppi622
  • https://www.mathnet.ru/eng/ppi/v26/i3/p101
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Проблемы передачи информации Problems of Information Transmission
    Statistics & downloads:
    Abstract page:174
    Full-text PDF :72
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024