An Adaptive Nonlinear Filter for System Identification
The primary difficulty in the identification of Hammerstein nonlinear systems (a static memoryless nonlinear system in series with a dynamic linear system) is that the output of the nonlinear system (input to the linear system) is unknown. By employing the theory of affine projection, we propose a g...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2009-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2009/859698 |