|
In mathematics, the Wiener series (or ''Wiener G-functional expansion'') originates from the 1958 book of Norbert Wiener. It is an orthogonal expansion for nonlinear functionals closely related to the Volterra series and having the same relation to it as an orthogonal polynomial expansion has to a power series. The analogue of the coefficients are referred to as Wiener kernels. The terms of the series are orthogonal (uncorrelated) with respect to a statistical input of white noise. This property allows the terms to be identified in applications by the ''Lee-Schetzen method''. The Wiener series is important in nonlinear system identification. In this context, the series approximates the functional relation of the output to the entire history of system input at any time. The Wiener series has been applied mostly to the identification of biological systems, especially in neuroscience. The name Wiener series is almost exclusively used in system theory. In the mathematical literature it occurs as the Ito expansion (1951) which is entirely equivalent to it. (The Wiener series should not be confused with the Wiener filter, which is an unrelated concept.) ==See also== *Volterra series *System identification *Spike-triggered average 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Wiener series」の詳細全文を読む スポンサード リンク
|