Przeanalizowano zależność pomiędzy teoriami Simmonsa-Taylora oraz Rose´a, opisującą niestacjonarne procesy rekombinacji nośników nadmiernych, ich pułapkowania i uwalniania ze stanów zlokalizowanych. Równania Simmonsa-Taylora wyrażono w warunkach gęstości nośnika w stanach zlokalizowanych. Pokazano, że w pewnych przypadkach równania redukują się do równań Rose´a, odnoszących się do bimolekularnej lub monomolekularnej rekombinacji.

Noncausal estimation algorithms, which involve smoothing, can be used for off-line identification of nonstationary systems. Since smoothingis based on both past and future data, it offers increased accuracy compared to causal (tracking) estimation schemes, incorporating past data only. It is shown that efficient smoothing variants of the popular exponentially weighted least squares and Kalman filter-based parameter trackers can...

In certain applications of nonstationary system identification the model-based decisions can be postponed, i.e. executed with a delay. This allows one to incorporate in the identification process not only the currently available information, but also a number of ''future'' data points. The resulting estimation schemes, which involve smoothing, are not causal. Assuming that the infinite observation history is available, the paper...

The paper provides comparison of three different approaches to on-line tuning of generalized adaptive notch filters (GANFs) the algorithms used for identification/tracking of quasi-periodically varying dynamic systems. Tuning is needed to adjust adaptation gains, which control tracking performance of ANF algorithms, to the unknown and/or time time-varying rate of system nonstationarity. Two out ofthree compared approaches are classical...