This study proposes a six-step approach to analyze ongoing EEG elicited by 512-second long natural music (modern tango). The spectrogram of the ongoing EEG was first produced, and then a fourth-order tensor including ...
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ISBN:
(纸本)9781467310680
This study proposes a six-step approach to analyze ongoing EEG elicited by 512-second long natural music (modern tango). The spectrogram of the ongoing EEG was first produced, and then a fourth-order tensor including the spectrograms of multiple channels of multiple participants was decomposed via nonnegative tensor factorization (NTF) into four factors, including temporal, spectral and spatial components, and multi-domain features of all participants. We found one extracted temporal component by NTF significantly (p < 0.01) correlated with the temporal course of a long-term music feature, 'fluctuation centroid';moreover, the power of posterior alpha activity was found to be associated with this temporal component. Hence, it looks promising to apply the proposed method for analyzing other ongoing EEG elicited by other natural stimuli.
The propagation environment of electromagnetic waves in mine tunnels is confined areas. The mine tunnel is regard as wave-guide which contains kinds of un-beneficial medium, the field formulas of different polarizatio...
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ISBN:
(纸本)9783642233388
The propagation environment of electromagnetic waves in mine tunnels is confined areas. The mine tunnel is regard as wave-guide which contains kinds of un-beneficial medium, the field formulas of different polarization waves were presented based on Marcatili method, and field prediction of horizontal and vertical polarization waves were simulated. The results showed that propagation effect of vertical polarization waves was better than horizontal polarization wave in mine tunnels of breadth less than height, contrarily propagation attenuation of horizontal polarization waves were higher than vertical polarization waves in mine tunnels of height less than breadth, at the same time the field distribution would be influenced because of section dimension change.
We propose a method for handwritten Arabic word recognition based on the combination of the Ridgelet transform and SVMs. Ridgelets are used for generating pertinent features of handwritten words while the classificati...
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In this paper, a novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is generic and adaptable to multiple cooperative...
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In this paper, a novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is generic and adaptable to multiple cooperative MIMO scenarios by simply adjusting key model parameters. Based on the proposed model framework and using a typical cooperative MIMO communication environment as an example, we derive a novel geometry-based stochastic model (GBSM) applicable to multiple wireless propagation scenarios. The proposed GBSM is the first cooperative MIMO channel model that has the ability to investigate the impact of the local scattering density (LSD) on channel characteristics. From the derived GBSM, the corresponding multi-link spatial correlation functions are derived and numerically analyzed in detail.
In this paper an FPGA-based implementation of Chaotic Pulse Position Modulation (CPPM) is described. The model of transmission in noisy channel is demonstrated. The result shows the operation, performance and feasibil...
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This work provides a novel framework for identifying coma and brain death consciousness states by analysing frequency power and phase synchrony features from electroencephalogram (EEG). The proposed analysis of pairs ...
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ISBN:
(纸本)9781424441198
This work provides a novel framework for identifying coma and brain death consciousness states by analysing frequency power and phase synchrony features from electroencephalogram (EEG). The proposed analysis of pairs of EEG electrodes using complex extensions of Empirical Mode Decomposition (EMD) permits the extraction of information related to the state of the brain function. Analysis on 34 subjects in the coma and quasi-brain-death states suggests that phase synchrony constitutes a feasible feature to discriminate quasibrain- death from coma state. Thus, illustrate the effectiveness of the proposed methods for brain consciousness identification. The predictive power of the features extracted is evaluated by building classification models using support vector machine (SVM) and evaluation the models through receiver operating characteristic (ROC) analysis.
We present herein a direct data domain approach without space-time aperture loss for airborne surveillance radar system. The approach is composed of three stages, i.e. reduced-resolution angle-Doppler image formation,...
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A novel criterion for thinned array optimization based on optimal polarization (minimization of the cross-polarization level) is proposed to suppress the cross-polarization level and solve the problem of grating lobes...
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This paper proposes an approximated power method to track the signal subspace. Using rank-one update model, the signal subspace can be obtained by finding the least square solutions of two unconstrained weight functio...
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