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This paper proposes a distributed second-order consensus time synchronization, which incorporates the second-order consensus algorithm into wireless sensor networks. Since local clocks may have different skews and offsets, the algorithm is designed to include offset compensation and skew compensation. The local clocks are not directly modified, thus the virtual clocks are built according to the local clocks via the compensation parameters. Each node achieves a virtual consensus clock by periodically updated compensation parameters. Finally, the effectiveness of the proposed algorithm is verified through a number of simulations in a mesh network. It is proved that the proposed algorithm has the advantage of being distributed, asymptotic convergence, and robust to new node joining. 相似文献
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该文基于最小互信息原理,推导了基于自然梯度法的盲源分离算法,将其应用于飞行器自适应跟踪的信号处理部分进行信号分离,并采用Matlab对算法进行仿真。理论分析和仿真结果表明该算法能够有效地进行信号分离。 相似文献
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新型神经网络的发展及其应用 总被引：2，自引：0，他引：2
人工神经网络是指模拟人脑神经系统的结构和功能,运用大量的处理部件,由人工方式建立起来的网络系统。近几年来,人工神经网络的研究工作十分活跃,取得了很大的进展,研究开发出了几十种神经网络的模型,出现了多种新型神经网络结构。本文重点介绍了近年来几种新型神经网络的基本模型及典型应用,包括小波神经网络、模糊神经网络、进化神经网络、细胞神经网络、混沌神经网络,同时比较了这几种新型神经网络的优势和不足。最后,根据这几种新型神经网络的特点,展望了它们今后的发展前景。 相似文献
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为了提高小波神经网络的收敛速度,文章提出了将负梯度下降法与DFP变尺度算法相结合进行权值修正的方法,在误差寻优初期采用梯度下降法迭代,当寻优过程开始接近最优时,更改寻优算法,使用DFP变尺度算法。通过仿真结果表明,改进算法减少了迭代次数,提高了算法收敛速度。 相似文献
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水泥砼路面在使用过程中会产生诸多病害,本文尝试通过对旧水泥砼路面板唧泥、脱空等砼路面主要病害的分析,提出采用灌浆技术来解决此类病害.并对脱空的确定、灌浆加固机理、实施等进行了较详细的介绍和分析.从经济的角度评价了灌浆技术可行性. 相似文献
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As an ill-posed problem, multiframe blind super resolution imaging recovers a high resolution image from a group of low resolution images with some degradations when the information of blur kernel is limited. Note that the quality of the recovered image is influenced more by the accuracy of blur estimation than an advanced regularization. We study the traditional model of the multiframe super resolution and modify it for blind deblurring. Based on the analysis, we proposed two algorithms. The first one is based on the total variation blind deconvolution algorithm and formulated as a functional for optimization with the regularization of blur. Based on the alternating minimization and the gradient descent algorithm, the high resolution image and the unknown blur kernel are estimated iteratively. By using the median shift and add operator, the second algorithm is more robust to the outlier influence. The MSAA initialization simplifies the interpolation process to reconstruct the blurred high resolution image for blind deblurring and improves the accuracy of blind super resolution imaging. The experimental results demonstrate the superiority and accuracy of our novel algorithms. 相似文献
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