| Publication Type |
Journal Article |
| School or College |
College of Engineering |
| Department |
Electrical & Computer Engineering |
| Creator |
Mathews, V. John |
| Other Author |
Lee, Junghsi |
| Title |
A stability result for RLS adaptive bilinear filters |
| Date |
1994 |
| Description |
Abstract- This letter considers recursive least squares (RLS) adaptive nonlinear filtering using bilinear system models. It is shown that the extended RLS adaptive bilinear filter, as well as the equation-error RLS adaptive bilinear filter, are guaranteed to be stable in the sense that the time average of the squared estimation error is bounded whenever the underlying process that generates the input signals is stable in the same sense. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| Volume |
1 |
| Issue |
12 |
| First Page |
191 |
| Last Page |
193 |
| Language |
eng |
| Bibliographic Citation |
Lee, J., & Mathews, V. J. (1994). A stability result for RLS adaptive bilinear filters. IEEE Signal Processing Letters, 1(12), 191-3. December. |
| Rights Management |
(c) 1994 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 |
226,872 bytes |
| Identifier |
ir-main,15084 |
| ARK |
ark:/87278/s6tq6jtv |
| Setname |
ir_uspace |
| ID |
704083 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6tq6jtv |
