This paper presents an effective blind statistical identification technique for nonstationary nonlinear systems based on an information theoretical ...

Abstract-This paper presents an effective blind statistical identification technique for nonstationary nonlinear systems based on an information theoretical ...

This paper presents an effective blind statistical identification technique for nonstationary nonlinear systems based on an information theoretical ...

Information theoretical algorithm based on statistical models for blind identification of nonstationary dynamical systems · P. CrippaF. GianfeliciC. Turchetti.

Apr 11, 2022 · The existing ICA/IVA/ICE/IVE algorithms can be catego- rized based on the statistical model of the sources, referred to as source model, which ...

Based on these properties, two applications are proposed, saying a blind deconvolution algorithm and two methods for determining the frequency of a CS signal.

May 25, 2024 · Therefore, this manuscript proposes an algorithm to detect the transition phases of non-stationary random variables and introduces an indicator ...

Information theoretical algorithm based on statistical models for blind identification of nonstationary dynamical systems · P. Crippa ; Nonlinear System ...

Jun 26, 2019 · We propose a time series modeling approach based on nonlinear dynamical systems to recover the underlying dynamics and predictability of ...

Performance of the proposed technique is demonstrated through two synthetic examples: a ten-story structure possessing a passive control system, and a soil- ...