A critical overview of non-stationary random vibration modelling and analysis via the class of
Functional Series Time-dependent AutoRegressive Moving Average (FS-TARMA) models is …

The paper presents results of local performance analysis of a generalized adaptive notch
filter (GANF). GANFs are used for identification/tracking of quasi-periodically varying …

When system parameters vary rapidly with time, the weighted least squares filters are not
capable of following the changes satisfactorily; some more elaborate estimation schemes …

This paper introduces a new family of infinite impulse response adaptive notch filters that
forms multiple notches using a second-order factorization of an all-pass transfer function …

The problem of identification of quasi-periodically varying finite impulse response systems is
considered. Neither the number of system frequency modes nor the initial frequency values …

The problem of identification/tracking of quasi-periodically varying complex systems is
considered. This problem is a generalization, to the system case, of a classical signal …

The problem of identification/tracking of periodically varying systems is considered. When
system coefficients vary rapidly with time, the most frequently used weighted least squares …

The paper presents a self-optimizing version of a generalized adaptive notch filter (GANF).
Generalized adaptive notch filters are used for identification/tracking of quasi-periodically …

The problem of identification/tracking of quasi-periodically varying real-valued systems is
considered. This problem is a generalization, to the system case, of a classical signal …

The problem of identification of quasi-periodically varying dynamic systems is considered.
This problem can be solved using generalized adaptive notch filtering (GANF) algorithms. It …