Noise removal from spontaneous potential logging signal based on Fastica

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.