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Error analysis of free-form surfaces is a requirement to assure quality and to reduce manufacturing costs and rework. This paper proposes a new approach and algorithms for eliminate the accumulative error of multi-view registration. The main influence factor of sequential sub-surface registration error is analyzed detailedly. To eliminate accumulated errors of registration, a method based on an overall...
This paper describes the method for classifying multiclass motor imagery EEG signals of brain-computer interfaces (BCIs) according to the phenomena of event-related desynchronization and synchronization (ERD/ERS). The method of one-versus-one common spatial pattern (CSP) for multiclass feature extraction was employed. And we extended two different kinds of classifiers: 1) support vector machines (SVM)...
This paper mainly studies about the data processing of brain computer interface(BCI) and presents a kind of method for classifying the ECoG motor imagery tasks. Both the training and testing ECoG datasets were filtered with the frequency band of 8–30Hz according to the event-related desynchronization and synchronization(ERD/ERS) phenomenon. The features were extracted by using Common Spatial Pattern(CSP)...
In this study, a brain-computer interface (BCI) using electrocorticograms (ECoG) is proposed. Feature extraction is an important task that significantly affects the classification results. First, the discrete wavelet transform was applied to ECoG signals from one subject performing imagined movements of either the left small-finger or the tongue. After preprocessing, relative wavelet energy of selected...
In order to solve the problems of correctly identifying fault classes in fault diagnosis of analogue circuit and improve classification ability, a fault diagnosis method for analog circuits based on AdaBoost algorithm and hypersphere support vector machine (hypersphere SVM) is developed in this paper. This algorithm uses Hyper-sphere SVMs as weak learners of AdaBoost and use AdaBoost algorithm to...
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