| Presentation | 2015/2/23 A Study on Anomaly Detection Method Using Kalman Filter and Wavelet Transform Motomi YAMAGUCHI, Keiji OSAKI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Hybrid method of Kalman filtering and wavelet transform is proposed. Error covariance of Kalman filter can be used to estimate normal range of data in time domain. Wavelet transform of data can be used to detect anomalies in frequency domain. The hybrid method utilizes time domain information and frequency domain information, flexibly detects impulse noises in locally stationary time series data. The results of applications on some data sets are shown. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kalman Filtering / Wavelet Transform / Noise Detection / Anomaly Detection |
| Paper # | EA2014-88,SIP2414-129,SP2014-151 |
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| Conference Information | |
| Committee | EA |
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| Conference Date | 2015/2/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Engineering Acoustics (EA) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Anomaly Detection Method Using Kalman Filter and Wavelet Transform |
| Sub Title (in English) | |
| Keyword(1) | Kalman Filtering |
| Keyword(2) | Wavelet Transform |
| Keyword(3) | Noise Detection |
| Keyword(4) | Anomaly Detection |
| 1st Author's Name | Motomi YAMAGUCHI |
| 1st Author's Affiliation | Graduate School of Arts and Sciences, International Christian University() |
| 2nd Author's Name | Keiji OSAKI |
| 2nd Author's Affiliation | Mathematics and Computer Science, International Christian University |
| Date | 2015/2/23 |
| Paper # | EA2014-88,SIP2414-129,SP2014-151 |
| Volume (vol) | vol.114 |
| Number (no) | 473 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |