DocumentCode :
2958651
Title :
Noise reduction combining microphones and laser listening devices
Author :
Matsumoto, Mitsuharu ; Abe, Tomomi ; Hashimoto, Shuji
Author_Institution :
Dept. of Appl. Phys., Waseda Univ., Tokyo
fYear :
2008
fDate :
5-8 Aug. 2008
Firstpage :
104
Lastpage :
109
Abstract :
This paper describes noise reduction combining microphones and laser listening devices. A microphone array is one of the useful approaches for reducing the noise. However, when the microphones are mounted on robot systems, the problem of internal noise from robots such as motors and gears arises. It is difficult to reduce the internal noise utilizing the conventional microphone array because the noise source is extremely close to the microphones. As the internal noise is not always stationary or sparse, some useful blind source separation (BSS) approaches such as Independent Component Analysis (ICA) and sparseness approach cannot be employed. Our aim is to reduce the internal noise by a sensor fusion of microphones and laser listening devices. In this paper, we describe the problem of the typical microphone array and show the design of the laser listening devices. Noise reduction combining microphones and laser listening devices is then described. Experimental results are also given to show the effectiveness of the proposed method.
Keywords :
blind source separation; independent component analysis; microphone arrays; noise; robots; blind source separation; independent component analysis; internal noise; laser listening devices; microphone array; noise reduction; robot systems; Blind source separation; Gears; Independent component analysis; Laser fusion; Laser noise; Micromotors; Microphone arrays; Noise reduction; Robots; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4244-2631-7
Electronic_ISBN :
978-1-4244-2632-4
Type :
conf
DOI :
10.1109/ICMA.2008.4798734
Filename :
4798734
Link To Document :
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