Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Electrical & Computer Engineering |
Creator |
Mathews, V. John |
Other Author |
Lee, Junghsi |
Title |
A fast recursive least-squares second order volterra filter |
Date |
1988 |
Description |
ABSTRACT This paper presents a fast, recursive least-squares (RLS) adaptive nonlinear filter. The nonlinearity is modelled using a second order Volterra series expansion. The structure presented in the paper makes use of the ideas of fast RLS multichannel filters and has a computational complexity of OW3) multiplications. This compares with OW6) multiplications required for direct implementation. Simulation examples in which the filter is employed to identify nonlinear systems using noisy output observations are also presented. Further simplification to the structure through a simplified model is discussed very briefly in the paper. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
1383 |
Last Page |
1386 |
Language |
eng |
Bibliographic Citation |
Mathews, V. J., & Lee, J. (1988). A fast recursive least-squares second order volterra filter. Proc. IEEE Int. Conf. Acoust., Speech, Signal Proc., 1383-6. April 11-14. |
Rights Management |
(c) 2004 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 |
315,268 bytes |
Identifier |
ir-main,15135 |
ARK |
ark:/87278/s6g457x4 |
Setname |
ir_uspace |
ID |
707228 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6g457x4 |