This paper considers a class of non-stationary autoregressive systems in which non-stationarity is caused by time varying parameters of the system. Distinction between two or more non-stationary systems based on observation of the output signal only, is difficult and sometimes may be impossible. In this paper a bilinear approximation of non-stationary autoregressive model is proposed. This way, a model with time varying parameters is approximated by a constant parameters model, what can facilitate the distinction between systems.
CITATION STYLE
Bielinska, E. (2014). Bilinear representation of non-stationary autoregressive time series. In Advances in Intelligent Systems and Computing (Vol. 240, pp. 737–746). Springer Verlag. https://doi.org/10.1007/978-3-319-01857-7_70
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