Adaptive system identification paradigims and air duct system identification
The paper discusses and evaluates identification paradigms in conjunction with different hardware and software techniques. Texas Instrument (TI) C6x DSP and Matlab are used to evaluate and select the source code and programming language for the purpose. The selected paradigm is then used for the duc...
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my.uniten.dspace-297342024-04-17T09:32:19Z Adaptive system identification paradigims and air duct system identification Nagi F. Li L.S. 56272534200 34969284000 Adaptive filtering Digital signal processing System identification Adaptive filters Adaptive systems Biomedical engineering Digital signal processing MATLAB Signal processing Active noise cancellation Adaptive system identification Air ducts Duct systems Hardware and software Programming language Secondary paths Source codes System identification Texas Instruments Adaptive filtering The paper discusses and evaluates identification paradigms in conjunction with different hardware and software techniques. Texas Instrument (TI) C6x DSP and Matlab are used to evaluate and select the source code and programming language for the purpose. The selected paradigm is then used for the duct system identification purpose-required for secondary path identification for active noise cancellation. � 2005 IEEE. Final 2023-12-28T08:08:39Z 2023-12-28T08:08:39Z 2005 Conference Paper 10.1109/CCSP.2005.4977190 2-s2.0-69649093298 https://www.scopus.com/inward/record.uri?eid=2-s2.0-69649093298&doi=10.1109%2fCCSP.2005.4977190&partnerID=40&md5=1e8052fb581c0922295e92321a902a3b https://irepository.uniten.edu.my/handle/123456789/29734 4977190 202 206 Scopus |
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Adaptive filtering Digital signal processing System identification Adaptive filters Adaptive systems Biomedical engineering Digital signal processing MATLAB Signal processing Active noise cancellation Adaptive system identification Air ducts Duct systems Hardware and software Programming language Secondary paths Source codes System identification Texas Instruments Adaptive filtering |
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Adaptive filtering Digital signal processing System identification Adaptive filters Adaptive systems Biomedical engineering Digital signal processing MATLAB Signal processing Active noise cancellation Adaptive system identification Air ducts Duct systems Hardware and software Programming language Secondary paths Source codes System identification Texas Instruments Adaptive filtering Nagi F. Li L.S. Adaptive system identification paradigims and air duct system identification |
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The paper discusses and evaluates identification paradigms in conjunction with different hardware and software techniques. Texas Instrument (TI) C6x DSP and Matlab are used to evaluate and select the source code and programming language for the purpose. The selected paradigm is then used for the duct system identification purpose-required for secondary path identification for active noise cancellation. � 2005 IEEE. |
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56272534200 |
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56272534200 Nagi F. Li L.S. |
format |
Conference Paper |
author |
Nagi F. Li L.S. |
author_sort |
Nagi F. |
title |
Adaptive system identification paradigims and air duct system identification |
title_short |
Adaptive system identification paradigims and air duct system identification |
title_full |
Adaptive system identification paradigims and air duct system identification |
title_fullStr |
Adaptive system identification paradigims and air duct system identification |
title_full_unstemmed |
Adaptive system identification paradigims and air duct system identification |
title_sort |
adaptive system identification paradigims and air duct system identification |
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2023 |
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1806425681363468288 |