Noise Removal from Spontaneous Potential Logging Signal Based on Fastica
详细信息
- 责任者：Jiang Huagen (68612 Armed Forces ; The Chinese People’s Liberation Army ; Yinchuan 750021 ; China) ; Yang Binhong
- 刊名：Hydrogeology and Engineering Geology
- 出版年：2013
- 卷期：40(1)
- 页码：p.29-33
- issnNo：ISSN1000-3665
- isbnNo：CN11-2202/P
摘要
A denoising method for spontaneous potential logging signal based on independent component analysis(ICA) is proposed in this paper.An intensive study is made of the noise characteristics of spontaneous potential logging signal and the principle of ICA,The proposed method is applied to denoising spontaneous potential logging signal using Fastica algorithm based on negentropy and is compared with the wavelet denoising method.The experimental results show that the denoising performance of the proposed method is easier to use and possesses a better denoising effect and adaptability.
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