Title :
Multi-channel hybrid active noise control system for infant incubators
Author :
Beemanpally, Kapila ; Pottim, Karunakar Reddy ; Kuo, Sen M.
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Abstract :
This paper presents a new active noise control system for infant incubators in neonatal intensive care units. To overcome the problem of complexity of noise sources and their locations, a multi-channel hybrid ANC system using the filtered-x least mean square (FXLMS) algorithm was developed. This hybrid ANC system integrates both the feedforward and the feedback ANC systems to cancel noises from both inside and outside the incubator. Computer simulations and real-time experiments were performed to compare the proposed hybrid ANC algorithm with the existing feedforward ANC algorithms under various complex noise environments.
Keywords :
active noise control; feedback; feedforward; least mean squares methods; medical control systems; paediatrics; complex noise environment; computer simulation; feedback ANC system; feedforward ANC system; filtered-x least mean square algorithm; infant incubator; multichannel hybrid ANC system; multichannel hybrid active noise control system; neonatal intensive care unit; noise source; Adaptive filters; Feedforward neural networks; Least squares approximation; Microphones; Noise; Sensors; Transfer functions;
Conference_Titel :
Electro/Information Technology (EIT), 2010 IEEE International Conference on
Conference_Location :
Normal, IL
Print_ISBN :
978-1-4244-6873-7
DOI :
10.1109/EIT.2010.5612171
