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...
| मुख्य लेखक: | |
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| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2018
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| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.usm.my/43630/ |
| सारांश: | 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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