| 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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