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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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | http://eprints.usm.my/43630/ http://eprints.usm.my/43630/1/CHEAH%20KAH%20WAI.pdf |
| _version_ | 1848879858758713344 |
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| author | Cheah, Kah Wai |
| author_facet | Cheah, Kah Wai |
| author_sort | Cheah, Kah Wai |
| building | USM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T17:53:55Z |
| format | Thesis |
| id | usm-43630 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:53:55Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-436302019-04-12T05:24:51Z http://eprints.usm.my/43630/ Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation Cheah, Kah Wai QA1-939 Mathematics 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. 2018-04 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/43630/1/CHEAH%20KAH%20WAI.pdf Cheah, Kah Wai (2018) Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA1-939 Mathematics Cheah, Kah Wai Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation |
| title | Reduced Fuzzy Recursive Least-Squares Algorithm For Real
Time Estimation |
| title_full | Reduced Fuzzy Recursive Least-Squares Algorithm For Real
Time Estimation |
| title_fullStr | Reduced Fuzzy Recursive Least-Squares Algorithm For Real
Time Estimation |
| title_full_unstemmed | Reduced Fuzzy Recursive Least-Squares Algorithm For Real
Time Estimation |
| title_short | Reduced Fuzzy Recursive Least-Squares Algorithm For Real
Time Estimation |
| title_sort | reduced fuzzy recursive least-squares algorithm for real
time estimation |
| topic | QA1-939 Mathematics |
| url | http://eprints.usm.my/43630/ http://eprints.usm.my/43630/1/CHEAH%20KAH%20WAI.pdf |