| Publication Type |
Journal Article |
| School or College |
College of Engineering |
| Department |
Electrical & Computer Engineering |
| Creator |
Mathews, V. John |
| Other Author |
Lee, Junghsi |
| Title |
Adaptive bilinear predictors |
| Date |
1994 |
| Description |
This paper considers an extended recursive least squares (RLS) adaptive bilinear predictor. It is shown that the extended RLS adaptive bilinear predictor is guaranteed to be stable in the sense that the time average of the squared a-posteriori prediction error signal is bounded whenever the input signal is bounded in the same sense. It also shows that the a-priori prediction error itself is bounded whenever the desired signal is bounded. This paper also contains simulation results to demonstrate the usefulness of the extended RLS adaptive bilinear predictor. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| First Page |
489 |
| Last Page |
492 |
| Language |
eng |
| Bibliographic Citation |
Lee, J., & Mathews, V. J. (1994). Adaptive bilinear predictors. Proc. ICASSP 94, Adelaide, 489-92. April. |
| 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 |
304,537 bytes |
| Identifier |
ir-main,15144 |
| ARK |
ark:/87278/s6xw5391 |
| Setname |
ir_uspace |
| ID |
705730 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6xw5391 |
