Title :
A twin-reference complex filtered-X LMS algorithm for feedforward active noise control and its convergence
Author :
Hinamoto, Yoichi ; Doi, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kagawa Nat. Coll. of Technol., Takamatsu, Japan
Abstract :
A complex filtered-X LMS algorithm is applied to feedforward active noise control for the tonal noises generated by periodic noise sources like rotating machines. Based on a state-space approach, the convergence of a complex filtered-X LMS algorithm using two reference signals is investigated. Finally, a numerical example is presented to illustrate the validity of the convergence analysis developed in this paper.
Keywords :
active noise control; convergence of numerical methods; feedforward; filtering theory; least mean squares methods; state-space methods; convergence analysis; feedforward active noise control; periodic noise sources; reference signals; rotating machines; state-space approach; tonal noises; twin-reference complex filtered-X LMS algorithm; Algorithm design and analysis; Convergence; Least squares approximation; Noise; Radio access networks;
Conference_Titel :
Circuits and Systems (MWSCAS), 2011 IEEE 54th International Midwest Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-61284-856-3
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2011.6026687
