| Publication Type |
Journal Article |
| School or College |
College of Engineering |
| Department |
Electrical & Computer Engineering |
| Creator |
Mathews, V. John |
| Other Author |
Cho, Sung Ho |
| Title |
Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm |
| Date |
1987 |
| Description |
Abstract-Convergence analysis of stochastic gradient adaptive filters using the sign algorithm is presented in this paper. The methods of analysis currently available in literature assume that the input signals to the filter are white. This restriction is removed for Gaussian signals in our analysis. Expressions for the second moment of the coefficient vector and the steady-state error power are also derived. Simulation results are presented, and the theoretical and empirical curves show a very good match. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| Volume |
35 |
| Issue |
4 |
| First Page |
450 |
| Last Page |
454 |
| Language |
eng |
| Bibliographic Citation |
Mathews, V. J., & Cho, S. H. (1987). Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm. IEEE Transactions on Acoustics, Speech, Signal Processing, ASSP-35(4), 450-4. April. |
| Rights Management |
(c) 2002 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 |
447,991 bytes |
| Identifier |
ir-main,15068 |
| ARK |
ark:/87278/s64464p1 |
| Setname |
ir_uspace |
| ID |
703696 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s64464p1 |
