Aggregative Modeling of Nonlinear Systems

In the note we examine the recently introduced aggregation modeling technique in a system identification context. First, we show that its finite sample size properties are preserved for any nonlinear SISO system with finite memory. Then, using as an example the peripheral auditory model we demonstrate that it allows to find effective Volterra approximations of LNL systems.

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