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Independent Component Analysis (ICA) is a useful method for blind source separation of two signals or more. We have previously proposed a new method combining ICA with the complex discrete wavelet transform (CDWT). In this case, the voice and the noise were separated using a new method. At that time, we used the simulation signal. In this study, we analyze measured biological signals by using this...
In this study, in order to improve the effectiveness of abnormal signal detection, we first develop a novel parasitic discrete wavelet transform (P-DWT) to perform fast wavelet instantaneous correlation (F-WIC) and then propose a new design method of the parasitic filters for the P-DWT. Furthermore, we show a judgment standard for assessing the credibility of the abnormal signal detection by using...
Teeming with large-span and complex structure, it play a more and more important role in on-line monitor and diagnosis of structure health based on the advanced equipment and scientific methods. Not only the methods based on inherent frequency, or vibration mode changes, but also flexibility or stiffness changes measurement method, exist a common limitation which insufficient in the small and fatigue...
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