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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Peng Zheng Yi Han Chao Song Li-jun Cao Bao-Feng |
| Copyright Year | 2012 |
| Description | Author affiliation: State key laboratory of NBC protection for civilian, Research institute of Chemical Defense, Beijing, China 102205 (Li Peng; Zheng Yi; Han Chao; Song Li-jun; Cao Bao-Feng) |
| Abstract | The Birge-Massart threshold wavelet methods were used to denoise lightning transient electrical signals, compared with the traditional de-noising methods such as Smoothing filter and FIR digital low-pass filter. The Means square error (MSE) and Magnitude error (ME) of simulation signals were calculated to compare the de-noising effect. The double exponential-decay pulse signals and Gaussian white-noise were composed as the simulating signals. The measured signals were also used to de-nosing with traditional and wavelet threshold methods. The results of simulation data and measured ones proved that the Birge-Massart threshold wavelet method was better than the traditional ones. |
| Starting Page | 2027 |
| Ending Page | 2029 |
| File Size | 305925 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781467300254 |
| e-ISBN | 9781467300247 |
| DOI | 10.1109/FSKD.2012.6234045 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms signal denoising Wavelet transform Low pass filters Noise reduction Lightning Finite impulse response filter Birge-Massart threshold lightning transient electrical signals Transient analysis |
| Content Type | Text |
| Resource Type | Article |
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