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- W2118609042 abstract "Approximations of slightly nonlinear systems with linear time-invariant (LTI) models are often used in applications. Here, LTI models that are optimal approximations in the mean-square error sense are studied. It is shown that these models can be very sensitive to small nonlinearities. Furthermore, the significance of the distribution of the input process is discussed. From the examples studied here, it seems that LTI approximations for inputs with distributions that are Gaussian or almost Gaussian are less sensitive to small nonlinearities." @default.
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- W2118609042 date "2004-09-01" @default.
- W2118609042 modified "2023-10-16" @default.
- W2118609042 title "LTI approximations of slightly nonlinear systems: Some intriguing examples" @default.
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- W2118609042 doi "https://doi.org/10.1016/s1474-6670(17)31272-7" @default.
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