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
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;
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
DOI :
10.1109/CCSP.2005.4977190
