| Publication Type |
Journal Article |
| School or College |
College of Engineering |
| Department |
Electrical & Computer Engineering |
| Creator |
Mathews, V. John |
| Other Author |
Syed, Mushtaq A. |
| Title |
Lattice and QR decomposition-based algorithms for recursive least squares adaptive nonlinear filters |
| Date |
1990 |
| Description |
This paper presents a lattice structure for adaptive Volterra systems. The stucture is applicable to arbitrary planes of support of the Volterra kernels. A fast least squares lattice and a fast QR-lattice adaptive nonlinear filtering algorithms based on the lattice structure are also presented. These algorithms share the fast convergence property of fast least squares transversal Volterra filters; however, unlike the transversal filters they do not suffer from numerical instability. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| First Page |
262 |
| Last Page |
265 |
| Language |
eng |
| Bibliographic Citation |
Syed, M. A., & Mathews, V. J. (1990). Lattice and QR decomposition-based algorithms for recursive least squares adaptive nonlinear filters. Proceedings IEEE International Symposium on Circuits and Systems Circuits and Systems, 262-5. |
| Rights Management |
(c) 1990 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 |
407,500 bytes |
| Identifier |
ir-main,15111 |
| ARK |
ark:/87278/s6mk6xgp |
| Setname |
ir_uspace |
| ID |
706690 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6mk6xgp |
