DocumentCode
3624440
Title
Adaptive Noise Cancellation Based on Neural Network
Author
Maja Stella;Dinko Begusic;Mladen Russo
Author_Institution
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Croatia. E-mail: mstella@fesb.hr
fYear
2006
Firstpage
306
Lastpage
309
Abstract
There are many noise cancellation applications which require utilization of adaptive filters. An adaptive noise canceller adaptively filters a noise reference input to maximally match and subtract out noise or interference from the primary (signal plus noise) input. In this work we use a simple neural network called Adaline as adaptive filter. Our experiments are based on engine noise cancellation in cars
Keywords
"Noise cancellation","Neural networks","Adaptive filters","Acoustic noise","Engines","Working environment noise","Minimization","Noise reduction","Microphone arrays","Speech enhancement"
Publisher
ieee
Conference_Titel
Software in Telecommunications and Computer Networks, 2006. SoftCOM 2006. International Conference on
Print_ISBN
953-6114-90-9
Type
conf
DOI
10.1109/SOFTCOM.2006.329765
Filename
4129919
Link To Document