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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Main Authors:	Nagi F., Li L.S.
Other Authors:	56272534200
Format:	Conference Paper
Published:	2023
Subjects:	Adaptive filtering Digital signal processing System identification Adaptive filters Adaptive systems Biomedical engineering MATLAB Signal processing Active noise cancellation Adaptive system identification Air ducts Duct systems Hardware and software Programming language Secondary paths Source codes Texas Instruments
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Institution:	Universiti Tenaga Nasional

id	my.uniten.dspace-29843
record_format	dspace
spelling	my.uniten.dspace-298432024-04-17T09:31:59Z 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 2023-12-28T08:57:54Z 2023-12-28T08:57:54Z 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/123456789/29843 4977190 202 206 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	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
spellingShingle	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
description	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.
author2	56272534200
author_facet	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
publishDate	2023
_version_	1806425985012203520

Adaptive system identification paradigims and air duct system identification

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