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| Paper: | SPTM-P5.11 |
| Session: | Adaptive Systems and Signal Processing |
| Time: | Wednesday, May 19, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Signal Processing Theory and Methods: Nonlinear Systems and Signal Processing |
| Title: |
STOCHASTIC MEAN-SQUARE PERFORMANCE ANALYSIS OF AN ADAPTIVE HAMMERSTEIN FILTER |
| Authors: |
Janez Jeraj; University of Utah | | |
| | V. John Mathews; University of Utah | | |
| Abstract: |
This paper presents an almost sure (a.s.) mean-square performanceanalysis of an adaptive Hammerstein filter for the case when themeasurement noise in the desired response signal is a martingaledifference sequence. The system model consists of a series connectionof a memoryless nonlinearity followed by a recursive linear filter. Itis shown under the conditions of the analysis that the long-term timeaverage of the squared excess estimation error of the adaptive filtercan be made arbitrarily close to zero. |
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