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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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Bibliographic Details
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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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
score 13.214268

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