| Publication Type |
Journal Article |
| School or College |
College of Engineering |
| Department |
Electrical & Computer Engineering |
| Creator |
Mathews, V. John |
| Other Author |
Syed, Mushtaq A. |
| Title |
QR-decomposition based algorithms for adaptive volterra filtering |
| Date |
1992 |
| Description |
Abstract - In this paper we present a pair of QR-RLS adaptive algorithms for second-order Volterra filtering. The algorithms are based solely on Given's rotations. Hence both the algorithms are numerically stable and highly amenable to parallel implementations. The computational complexity of one of the algorithms is comparable to that of the fast transversal Volterra filters. The algorithms can be easily extended to other types of polynomial nonlinearities. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| First Page |
2625 |
| Last Page |
2628 |
| Language |
eng |
| Bibliographic Citation |
Syed, M. A., & Mathews, V. J. (1992). QR-decomposition based algorithms for adaptive volterra filtering. Proceedings of IEEE Int. Symp. Circuits and Systems, 2625-8. May. |
| Rights Management |
(c)2003 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 |
333,021 bytes |
| Identifier |
ir-main,15114 |
| ARK |
ark:/87278/s6086pwg |
| Setname |
ir_uspace |
| ID |
706602 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6086pwg |
