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Aiming to condition based maintenance for complex equipment, numerous intelligent fault diagnosis and prognostic methods based on machine learning have been researched. Compared with the traditional shallow models, which have problems of lacking expression capacity and existing the curse of dimensionality, using deep learning theory can effectively mine characteristics and accurately recognize the...
The traditional FIR filters based on reconfiguration have disadvantages with difficult to control and low-level automation. In addition, the traditional FIR filters take long time to configure. To solve these problems, a real-time reconfigurable FIR filter is proposed which is based on the dynamic partial reconfiguration technology of EAPR and based on multiply-accumulate structure. Finding the common...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.