DocumentCode
1612952
Title
Adaptive system identification paradigims and air duct system identification
Author
Nagi, Farrukh ; Li, Lee Seet
Author_Institution
Mechanical Department, College of Enginnering, Universiti Tenaga Nasional (UNITEN), KM-7, Jalan Kajang Puchong, 43009 Kajang, Selangor, Malaysia
fYear
2005
Firstpage
202
Lastpage
206
Abstract
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.
Keywords
Adaptive filters; Adaptive systems; Control systems; Digital signal processing; Ducts; Finite impulse response filter; Least squares approximation; MATLAB; Mathematical model; System identification; adaptive filtering; digital signal processing; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering, 2005. CCSP 2005. 1st International Conference on
Conference_Location
Kuala Lumpur, Malaysia
Print_ISBN
978-1-4244-0011-9
Electronic_ISBN
978-1-4244-0012-6
Type
conf
DOI
10.1109/CCSP.2005.4977190
Filename
4977190
Link To Document