Результаты поиска по 'Lee–Shetzen method':
Найдено статей: 1
  1. Dunyushkin D.Y.
    Test-signals forming method for correlation identification of nonlinear systems
    Computer Research and Modeling, 2012, v. 4, no. 4, pp. 721-733

    Тhe new test-signals forming method for correlation identification of a nonlinear system based on Lee–Shetzen cross-correlation approach is developed and tested. Numerical Gauss–Newton algorithm is applied to correct autocorrelation functions of test signals. The achieved test-signals have length less than 40 000 points and allow to measure the 2nd order Wiener kernels with a linear resolution up to 32 points, the 3rd order Wiener kernels with a linear resolution up to 12 points and the 4th order Wiener kernels with a linear resolution up to 8 points.

    Keywords: nonlinear dynamic systems, Volterra–Wiener approach, system identification, cross-correlation approach, Lee–Shetzen method, test-signals, white noise.
    Views (last year): 1. Citations: 3 (RSCI).

Indexed in Scopus

Full-text version of the journal is also available on the web site of the scientific electronic library eLIBRARY.RU

The journal is included in the Russian Science Citation Index

The journal is included in the RSCI

International Interdisciplinary Conference "Mathematics. Computing. Education"

Copyright © 2009–2024 Institute of Computer Science