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	1. TWO DIMENSIONAL DIRECTION-OF-ARRIVAL ESTIMATION
	Guangmin Wang,Jingmin Xin,Nanning Zheng
	Information Science and System Science 28 April 2010
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:This paper proposes a new computationally efficient method for two-dimensional (2-D) direction-of-arrivals (DOAs) estimation of multiple correlated narrowband signals impinging on an L-shaped sensor array structured by two uniform linear arrays (ULAs). In the proposed method, the azimuth and evaluation angles are estimated independently from the cross-correlation matrices between the received data of two ULA subarrays by linear operation, and then the pair-matching of estimated azimuth and evaluation angles can be accomplished by using the correlation matrix of the combined received data of these subarrays. Since the eigen-decomposition is avoided, the proposed DOA estimation method has less computational complexity and better estimation performance than the existing methods. Furthermore the effectiveness of the proposed method is verified through numerical examples.
	TO cite this article:Guangmin Wang,Jingmin Xin,Nanning Zheng. TWO DIMENSIONAL DIRECTION-OF-ARRIVAL ESTIMATION[OL].[28 April 2010] http://en.paper.edu.cn/en_releasepaper/content/42464


	2. $1/f^{alpha}$ noise in spectral fluctuations of complex networks
	Ye Bin
	Information Science and System Science 29 March 2010
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	Abstract:$1/f^{alpha}$-noise or $1/f^{alpha}$-phenomenon is widely considered as the signature of complexity. We demonstrate the existence of this phenomenon in various model networks, namely random, small-world, scale-free complex networks. Taking the eigenvalues of the adjacency matrix as a discrete time series, the Fourier power spectrum of the fluctuations of these eigenvalues are analyzed in terms of their frequency. An approximately $1/f^{2}$ type power-law behavior is found in these model networks. We also present our analysis for the real-world interconnected electrical power grid. Our present work provides a new perspective to understand the complex network structures.
	TO cite this article:Ye Bin. $1/f^{alpha}$ noise in spectral fluctuations of complex networks[OL].[29 March 2010] http://en.paper.edu.cn/en_releasepaper/content/41270


	3. Plausible Modelling for Stochastic Process of DSBs Generation and Repair Process under Ion Radiation (IR)
	Qi jinpeng,Shao shihuang,Ding Yongsheng
	Information Science and System Science 22 September 2009
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	Abstract:In response to acute perturbations from outside, cell can trigger its self-defense mechanisms to fight against genome stresses. To simulate the kinetics of cellular to respond to DNA damage at single cell level, a model of the double strand breaks (DSBs) generation and repair process was proposed under continuous IR. The model can be successfully used to present the kinetics of DSBs generation and their repair, as well as the complicated interactions among vital components during the continuous radiation time. In different IR dose domains, the simulations suggest that the capability of cellular responding to DNA damage begin to decrease as IR overpasses some strength threshold.
	TO cite this article:Qi jinpeng,Shao shihuang,Ding Yongsheng. Plausible Modelling for Stochastic Process of DSBs Generation and Repair Process under Ion Radiation (IR)[OL].[22 September 2009] http://en.paper.edu.cn/en_releasepaper/content/35351


	4. Existence and stability of the optimal control to p-Laplacian
	Peidong Lei ,Gao Hang
	Information Science and System Science 12 January 2009
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	Abstract:In this paper, we are concerned with the optimal control of the evolutionary p-Laplacian with the convective boundary condition taking the heat transfer coefficient as the control. We take as our cost functional the L^p-norm of the difference between the temperature attained and the desired temperature. The existence and the stability of the optimal control that minimizes the cost functional are proved.
	TO cite this article:Peidong Lei ,Gao Hang. Existence and stability of the optimal control to p-Laplacian[OL].[12 January 2009] http://en.paper.edu.cn/en_releasepaper/content/27630


	5. BP Neural Network principle and MATLAB Simulation
	Xiong Xin,Nie Mingxin
	Information Science and System Science 19 May 2006
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	Abstract: This paper introduces the prevalent BP algorithm in neural network, and discusses the goodness、problem and training process of BP neural network, as well as using MATLAB software to simulate the numbers on the basis of it. At last, several improved BP training algorithms have been compared in the paper.
	TO cite this article:Xiong Xin,Nie Mingxin. BP Neural Network principle and MATLAB Simulation[OL].[19 May 2006] http://en.paper.edu.cn/en_releasepaper/content/6688

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