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Bayesian inference is used in many scientific areas as a conceptually well-founded data analysis framework. In this paper, we give a brief introduction to Bayesian probability theory and its application to the tomography problem in fusion research by means of a Gaussian process prior. This Gaussian process tomography (GPT) method is used for reconstruction of the local soft X-ray (SXR) emissivity...
Noise has been a major limitation to partial discharge (PD) measurement. It is crucial to suppress noise prior to any PD data analysis. Recent research shows that the discrete wavelet transform, wavelet packet transform and stationary wavelet transform techniques have all achieved good effect in noise rejection in PD measurement. This paper compares the effectiveness and computing time required of...
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