Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation
Adaptive filtering is an online signal processing application that is capable of estimating parameters for the characterization of a real time system. The estimation is done based on the mean-square error (MSE) minimization of the difference between some desired output and the output of the adaptiv...
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Main Author: | |
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Format: | Thesis |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | http://eprints.usm.my/43630/1/CHEAH%20KAH%20WAI.pdf |
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Summary: | Adaptive filtering is an online signal processing application that is capable of estimating parameters for the characterization of a real time system. The estimation is done based on the mean-square error (MSE) minimization of the difference between some desired output and the
output of the adaptive filter. The unknown transfer function is assumed to be a known structure and is realized by three different structures which are commonly used in conventional adaptive filtering: (i) the finite-duration impulse response (FIR) filter, (ii) the infinite-duration impulse response (IIR) filter, and (iii) the nonlinear filter. |
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