Avtomatika i Telemekhanika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors
Submit a manuscript

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Avtomat. i Telemekh.:
Year:
Volume:
Issue:
Page:
Find




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

Avtomatika i Telemekhanika, 1994, Issue 5, Pages 12–20 (Mi at3899)  
This article is cited in 2 scientific papers (total in 2 papers)

Deterministic Systems

Fractal image compression in the Barnsley–Sloan sense

V. A. Bondarenko, V. L. Dol'nikov

Yaroslavl State University
Full-text PDF (1254 kB) Citations (2)

Received: 08.07.1993
Bibliographic databases:
Document Type: Article
UDC: 517.977
MSC: Primary 94A29; Secondary 68U10
Language: Russian
Citation: V. A. Bondarenko, V. L. Dol'nikov, “Fractal image compression in the Barnsley–Sloan sense”, Avtomat. i Telemekh., 1994, no. 5, 12–20; Autom. Remote Control, 55:5 (1994), 623–629
Citation in format AMSBIB
\Bibitem{BonDol94}
\by V.~A.~Bondarenko, V.~L.~Dol'nikov
\paper Fractal image compression in the Barnsley--Sloan sense
\jour Avtomat. i Telemekh.
\yr 1994
\issue 5
\pages 12--20
\mathnet{http://mi.mathnet.ru/at3899}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1290164}
\transl
\jour Autom. Remote Control
\yr 1994
\vol 55
\issue 5
\pages 623--629
Linking options:
  • https://www.mathnet.ru/eng/at3899
  • https://www.mathnet.ru/eng/at/y1994/i5/p12
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Avtomatika i Telemekhanika
    Statistics & downloads:
    Abstract page:812
    Full-text PDF :391
    First page:2
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024