Identification of time-varying linear systems, which introduce both time-shifts (delays) and frequency-shifts (Doppler-shifts), is a central task in many engineering applications...
Identification of time-varying linear systems, which introduce both time-shifts (delays) and frequencyshifts (Doppler-shifts) to the input signal, is one of the central tasks in m...
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
In this paper we study the identifiability of linear switched systems (LSSs ) in discrete-time. The question of identifiability is central to system identification, as it sets the...
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...