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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Matsumoto, M. Abe, T. Hashimoto, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Fac. of Sci. & Eng., Waseda Univ., Tokyo (Abe, T.) || Dept. of Appl. Phys., Waseda Univ., Tokyo (Matsumoto, M.; Hashimoto, S.) |
| 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. |
| Starting Page | 498 |
| Ending Page | 502 |
| File Size | 376441 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424421435 |
| DOI | 10.1109/MFI.2008.4648044 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-20 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Microphones Noise Piezoelectric devices Arrays Gain Signal to noise ratio Robots |
| Content Type | Text |
| Resource Type | Article |
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