Warianty tytułu
Języki publikacji
Abstrakty
This paper presents the results obtained from investigating the problepa how much information about the system’s dynamics can be recovered from the finite sets of noisy measurements. As an example of data, the hydro acoustical signalp representing different boats have been used. In particular, filtering of signals is discussed, as well as methods of reconstruction the state space.
Wydawca
Czasopismo
Rocznik
Tom
Numer
Opis fizyczny
p.80-83,fig.,ref
Twórcy
autor
- Naval University of Gdynia, Gdynia, Poland
Bibliografia
- 1. A. M. ALBANO, J. MUENCH, C. SCHWANT, A. I. MEES, P. E. RAPP.: Singular-value decomposition and the Grass- berger-Procaccia algorithm, Phys. Rev A 38 (1988) 3017.
- 2. H. KANTZ, T. SCHREIBER.: Nonlinear time series analysis, Cambridge University Press, Cambridge, 1997.
- 3. T. SAUER, J. YORKE, M. CASDAGLI.: Embedology, J. Stat. Phys. 65 (1991) 579.
- 4. F. TAKENS.: Detecting strange attractors in turbulence, in D. A. Rand and L.-S. Young, eds.. Dynamical systems and turbulence, Lecture notes in mathematics Vol. 898, Springer, New York, 1981.
- 5. M. CASDAGLI, S. EUBANK, J. D. FARMER, J. GIBSON.: State space reconstruction in the presence of noise, Physica D 51 (1991) 52.
- 6. T. SCHREIBER.: Interdisciplinary applications of nonlinear time series methods, Phys. Reports, 1 (1999).
- 7. I. T. JOLLIFFE.: Principal component analysis, Springer, New York, 1986.
- 8. D. BROOMHEAD, G. P. KING, Extracting qualitative dynamics from experimental data, Physica D 20 (1986) 217.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-article-d01bb2bf-6e2d-4722-b5ba-827c97e986e1