DocumentCode
809228
Title
Identification of cubic systems using higher order moments of i.i.d. signals
Author
Tseng, Ching-Hsiang ; Powers, Edward J.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume
43
Issue
7
fYear
1995
fDate
7/1/1995 12:00:00 AM
Firstpage
1733
Lastpage
1735
Abstract
A simple method for estimating the Volterra kernels of cubic systems with a zero-mean i.i.d. input is presented. This method significantly reduces the computational complexity of Volterra kernel estimation compared to the non-i.i.d. and non-Gaussian input case
Keywords
Volterra series; computational complexity; nonlinear systems; parameter estimation; signal processing; Volterra kernel estimation; Volterra kernels; computational complexity; cubic systems; higher order moments; identification; iid signals; independent identically distributed input; zero-mean iid input; Communication channels; Computational complexity; Delay effects; Echo cancellers; Equations; Kernel; Signal processing; Signal processing algorithms; Sparse matrices; Symmetric matrices;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.398739
Filename
398739
Link To Document