A new type of substrate structure Electronic Enhance Collector IGBT (EEC-IGBT) was proposed, and the working principle was introduced in this paper. Compared with conventional IGBT, the substrate of EEC-IGBT was divid...
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many speech processing applications, the spectral amplitude is the dominant information while the use of phase spectrum is not so widely spread. In this paper, we present an overview on why speech phase spectrum has b...
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Noise contamination is inevitable in biomedical recordings. In some cases biomedical recordings are highly contaminated with artifacts which make the effective recovering process hard to achieve. Many different method...
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ISBN:
(纸本)9781479984992
Noise contamination is inevitable in biomedical recordings. In some cases biomedical recordings are highly contaminated with artifacts which make the effective recovering process hard to achieve. Many different methods have been proposed for artifact removal from biomedical signals but introducing an effective method which can present valuable data for medical analysis, is still an ongoing process. In this paper a new method for interictal EEG denoising is presented. Single-channel ICA denoising method based on EMD decomposition is used to improve the multi-channel ICA denoising results. This method is tested on simulated epileptic recordings which are contaminated with real muscle artifact and EEG background activity.
This paper presents a novel multiobjective constraint handling approach, named as MOEA/D-CDP-ID, to tackle constrained optimization problems. In the proposed method, two mechanisms, namely infeasibility driven (ID) an...
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The Electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Therefore, the quality of information extracted from the ECG has a vital role. In real recordings, ECG is corrupted by artifacts such as prol...
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ISBN:
(纸本)9781479984992
The Electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Therefore, the quality of information extracted from the ECG has a vital role. In real recordings, ECG is corrupted by artifacts such as prolonged repolarization, respiration, changes of electrode position, muscle contraction, and power line interface. In this paper, a denoising technique for ECG signals based on Empirical Mode Decomposition (EMD) is proposed. We use Ensemble Empirical Mode Decomposition (EEMD) to overcome the limitations of EMD. Moreover, to overcome the limitations of thresholding methods we use the combination of mutual information and two EMD based interval thresholding approaches. Our new method is evaluated on ECG signals available in MIT-BIH database. This method is compared with two EEMD based interval thresholding methods. The results show that our proposed method has a better signal to Noise Ratio improvement (SNRimp) and a lower Mean Square Error (MSE) than the other two methods.
Database security prevents the disclosure of confidential data within a database to unauthorized users, and has become an urgent challenge for a tremendous number of database applications. Data encryption is a widely-...
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Recently, researchers have discovered unexpected bumps in the detection rate curve of yet another steganographic scheme (YASS). We refer to this abnormal phenomenon as non-monotonic security performance. This paper fi...
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This paper proposed a new algorithm for burst signal sorting. The proposed algorithm can be used to identify and locate TDMA users based on the continuity of carrier phase. In the proposed algorithm, the continuity of...
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The size estimation of space target is useful to help monitor the collision of space targets. The traditional methods cannot obtain accurate size of three-axis stabilized targets via narrow-band radar. This paper pres...
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Digital Rights Management (DRM) is a type of access-control technology that is used by diverse content providers to restrict the use of digital content. Enterprise Digital Rights Management (E-DRM) is an application o...
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