Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Electrical & Computer Engineering |
Creator |
Mathews, V. John |
Title |
Orthogonalization of correlated gaussian signals for volterra system identification |
Date |
1995 |
Description |
This letter presents a simple method for orthogonalizing correlated Gaussian input signals for identification of truncated Volterra systems of arbitrary order of nonlinearity P and memory length N. The procedure requires a Gram-Schmidt orthogonalizer for a vector containing N elements and some nonlinear processing of the output elements of the Gram-Schmidt processor. However, the nonlinear processors do not depend on the statistics of the input signals and, consequently, are easy to design and implement. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
Volume |
2 |
Issue |
10 |
First Page |
188 |
Last Page |
190 |
Language |
eng |
Bibliographic Citation |
Mathews, V. J. (1995). Orthogonalization of correlated gaussian signals for volterra system identification. IEEE Signal Processing Letters, 2(10), 188-90. October. |
Rights Management |
(c) 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
187,884 bytes |
Identifier |
ir-main,15086 |
ARK |
ark:/87278/s67w6wq3 |
Setname |
ir_uspace |
ID |
706189 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s67w6wq3 |