DocumentCode :
3051159
Title :
Internal noise reduction combining microphones and a piezoelectric device under blind condition
Author :
Matsumoto, Mitsuharu ; Abe, Tomomi ; Hashimoto, Shuji
Author_Institution :
Dept. of Appl. Phys., Waseda Univ., Tokyo
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
498
Lastpage :
502
Abstract :
This paper introduces internal noise reduction combining microphones and a piezoelectric device attached to the internal noise source under blind condition. An acoustical array combining microphones and piezoelectric devices is an acoustical sensor fusion to reduce the internal noise coming from the inside of the system such as machines, vehicles or robots. It can reduce the internal noise effectively, while it is difficult to reduce the internal noise by employing the conventional microphone array and blind source separation (BSS) algorithms such as ICA or sparseness approach because the internal noise is extremely close to the microphone and not always stationary, statistically independent or sparse. However, when the acoustical array combining microphones and piezoelectric devices are utilized, it is necessary to estimate the gains of microphones and piezoelectric devices concerning the internal noise source in advance. Our aim is to simplify this process. In this paper, we formulate the problem and show the methodology of the proposed method. Experimental results are also demonstrated to confirm the effectiveness of the proposed method.
Keywords :
acoustic signal processing; array signal processing; blind source separation; independent component analysis; microphones; piezoelectric devices; signal denoising; ICA; acoustical sensor fusion; blind source separation; internal noise reduction; microphones; piezoelectric devices; Blind source separation; Independent component analysis; Microphone arrays; Noise reduction; Piezoelectric devices; Robot sensing systems; Sensor arrays; Sensor fusion; Source separation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008. IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-2143-5
Electronic_ISBN :
978-1-4244-2144-2
Type :
conf
DOI :
10.1109/MFI.2008.4648044
Filename :
4648044
Link To Document :
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