Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation

Cheah, Kah Wai (2018) Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation. PhD thesis, Universiti Sains Malaysia.

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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.

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics
Divisions: Pusat Pengajian Sains Matematik (School of Mathematical Sciences) > Thesis
Depositing User: ASM Ab Shukor Mustapa
Date Deposited: 12 Mar 2019 07:34
Last Modified: 12 Apr 2019 05:24

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