Xiaofeng Gong

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Direction-of-arrival (DOA) estimation based on the array of three-component electromagnetic vector-sensors is considered within a biquaternion framework. A relationship is established between the biquaternion covariance and the combination of both complex covariance and cross-product. By exploiting this relationship, the DOA estimates can finally be(More)
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The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study. In this paper, by carrying out analysis to the temporal data of Flickr and Epinions-two typical social media networks, we found that the dynamical pattern in neighborhood, especially the formation of triadic links,(More)
Existing software systems designed to support learning do not adequately provide for vicarious learning in a cross-institutional collaborative environment. We have developed an architecture based on role-based access control, which provides the necessary security, robustness, flexibility, and explicit formulation of policy. Such an architecture is general(More)
We propose a scheme to generate binary code for baseband spread-spectrum communication by using a chain of coupled chaotic maps. We compare the performances of this type of spatiotemporal chaotic code with those of a conventional code used frequently in digital communication, the Gold code, and demonstrate that our code is comparable or even superior to the(More)
In this paper, we numerically investigate the development of generalized synchronization (GS) on typical complex networks, such as scale-free networks, small-world networks, random networks, and modular networks. By adopting the auxiliary-system approach to networks, we observe that GS generally takes place in oscillator networks with both heterogeneous and(More)
—Direction-of-arrival (DOA) estimation for multiple sources using the array of three-component electromagnetic (EM) vector-sensors is considered in this paper within a tensorial framework. The cross covariance tensor is firstly defined as the one in which the cross covariance terms between every two components of the array signals are arranged in a(More)
Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create links based on their states, influenced by local dynamics and their own intention. It is shown that the model can reproduce the remarkable properties observed in empirical online(More)