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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei Zhang Zhongming Pan |
| Copyright Year | 2012 |
| Description | Author affiliation: College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha, China (Lei Zhang; Zhongming Pan) |
| Abstract | The peak detection method is the conventional way to design a giant magneto-impedance (GMI) magnetic sensor. However, it is difficult to extract the actual signal from the raw data outputted from the GMI probe when the signal-to-noise ratio (SNR) of the raw data is less than 0dB. Therefore, a novel design of GMI magnetic sensor and a hybrid analysis method of wavelet transform in combination with correlation analysis are proposed in this paper which are proved effective and able to process the raw data whose SNR is even −15dB. |
| Starting Page | 444 |
| Ending Page | 447 |
| File Size | 71670 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467300889 |
| e-ISBN | 9781467300896 |
| DOI | 10.1109/CSAE.2012.6272634 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | MAD Correlation GMI Magnetic sensor Magnetic sensors Amorphous magnetic materials Hybrid analysis Magnetic fields Impedance Probes Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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