Title :
Improving convergence of nonlinear active noise control systems
Author :
Sirisha, K. ; George, Nithin V.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Gandhinagar, Ahmedabad, India
fDate :
Feb. 28 2014-March 2 2014
Abstract :
With an objective to improve the convergence characteristics of nonlinear active noise control (ANC) systems, this paper proposes a discrete cosine transform based adaptive algorithm for ANC. The performance of the new algorithm in terms of speed of convergence has been compared with that of the filtered-s least mean square algorithm. The improved convergence of the new algorithm is evident from the simulation experiments.
Keywords :
active noise control; adaptive control; convergence; discrete cosine transforms; nonlinear control systems; adaptive algorithm; convergence improvement; discrete cosine transform; nonlinear ANC systems; nonlinear active noise control systems; Convergence; Discrete cosine transforms; Least squares approximations; Microphones; Noise; Signal processing algorithms; Transfer functions;
Conference_Titel :
Students' Technology Symposium (TechSym), 2014 IEEE
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4799-2607-7
DOI :
10.1109/TechSym.2014.6807910
