基于PRONY模型的谐波检测

信号的去噪问题一直是信号检测的一大难题,而要检测的信号往往却存在不同的随机噪声。在分析周期信号的基础上,提出了一种基于PRONY模型的周期信号分析法。经过对周期短(窄)脉冲信号的实验,这种直接构造的PRONY算法在周期信号中能达到有效、准确的分析结果。     

A new TDOA algorithm based on Taylor series expansion in cellular networks

Time difference of arrival (TDOA) is the positioning technique with the most potential in cellular mobile telecommunication systems. The Taylor series expansion method has been widely used in solving nonlinear equations for its high accuracy and good robustness. However, the performance of the Taylor’s method depends highly on the initial estimation. Therefore, one new algorithm, hybrid optimizing algorithm (HOA) was proposed, which combines the Taylor series expansion method with the steepest decent method. The steepest decent method features fast convergence at the initial iteration and small computation complexity. HOA takes great advantage of both methods. Simulation results show that HOA achieves better performance on positioning accuracy and efficiency. __________ Translated from Journal on Communications, 2007, 28(6): 7–11 [译自: 通信学报]     

基于三点工况下的无源滤波器组优化设计

无源滤波器组的参数设计通常均针对系统单一工况(通常为最大工况)进行。当系统运行在其他工况时,有可能无论退出哪一组滤波器的运行均无法同时满足系统的无功补偿和谐波治理要求。为此基于系统的3种典型工况(最大、平均和最小工况)对无源滤波器组进行优化设计,确定合理参数,以在最小的投资费用下达到谐波治理与无功补偿的最优匹配。算例结果验证了该方法的可行性。     

基于灰色预测的多变量自适应PID控制器

针对汽轮发电机组具有多变量、强耦合、大时滞等特点,提出一种基于灰色预测的多变量自适应PSD控制算法。该方案通过一组灰色系统预测模型GM（1,N）对多变量系统的输出预测实现对角解耦。采用无辨识智能自适应PSD控制算法优化PID控制器的参数,用优化后的PID控制器对每个子系统进行控制。该方案不需要精确的数学模型,在线估计参数少,计算简单。仿真结果表明,与其他方法相比,这种控制方法响应速度更快,而且具有更好的自适应性和鲁棒性。     

GIS线状缓冲区生成算法研究

缓冲区分析是地理信息系统重要的空间分析功能之一．地理信息系统中的缓冲区生成分点、线、面3种,线状目标缓冲区的生成是点、线、面3种基本空间要素缓冲区生成的关键和基础,文中就线状目标缓冲区的两种生成算法进行了严密的数学推导,并通过编程实现取得了较好的效果．     

Review of Evolution, culture and the human mind.

Reviews the book, Evolution, culture and the human mind edited by M. Schaller, et al. (see record 2009-20004-000). This current volume, Evolution, culture and the human mind, follows the lead of Wundt where an attempt is made to provide a synthesis of theory and data across psychological subfields into a holistic framework. Norenzayan, Schaller, and Heine begin the volume with an overview of the scope and themes that arose from their 2004 conference at the University of British Columbia on “Mind, Culture and Evolution.” Explicit throughout this volume is an effort to bridge the “yawning chasm” between perspectives of evolutionary determinism and cultural constructionism. In doing so, there is interest in providing a rigorous multidisciplinary scientific effort to solve this foundational problem for psychology. As such this volume provides an interesting and insightful examination of the evolution of consciousness, cognition, decision-making, actions, and cultural norms in terms of collective consequences and genetic mechanisms. The volume is divided into three sections where several dialectical themes (theory/data, top-down/bottom-up, ecological/social, diversification/integration) are woven throughout. Overall the volume offers nice flow from one collection of essays to the next as themes are picked up and let go, only to return later on. This volume shows a dominance of natural science (cross-cultural) inclinations where some readers may call for more voice given to phenomenological and hermeneutical (cultural) human science contributions. Other critics may challenge the reliance upon correlational, comparative, and post hoc data to bolster claims of causality in support of various theoretical suppositions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于GA的2DPCA在人脸识别中的应用

采用基于遗传算法(GA)的二维主成分分析法(2DPCA)进行人脸识别.2DPCA直接以二维图像矩阵为研究对象,以其协方差矩阵的特征向量为投影轴进行特征提取.为了达到识别时的信息最优,将遗传算法融入2DPCA,对协方差矩阵的特征向量进行优化选择得到最优投影轴,并在此基础上提取特征.最后在MIT人脸数据库上进行实验,表明识别率和速度均高于单纯使用2DPCA的方法.     

Gamma过程退化模型估计中测量误差影响的仿真研究

研究产品性能退化规律并评估其剩余寿命和可靠性特征是维修决策的重要前提和依据。Gamma过程退化模型在性能退化建模和维修最优化方面得到了广泛研究和重视。但是很少考虑测量误差对模型估计的影响。由于观测数据常常受到测量不确定性的影响,所以如果在Gamma退化过程的构造中没有考虑测量误差的影响,就会导致退化动力学的有偏估计。为此,利用EM算法提出了1种统计方法,利用了可以获取的量测信息来克服以上不足。仿真研究说明了考虑测量不确定性的重要性和提出方法的有效性。另外,提出的统计方法也可以被应用于许多类型的随机过程退化模型。     

A novel intelligent verification platform based on a structured analysis model

An intelligent verification platform based on a structured analysis model is presented.Using an abstract model mechanism with specific signal interfaces for user callback,the unified structured analysis data,shared by the electronic system level design,functional verification,and performance evaluation,enables efficient management review,auto-generation of code,and modeling in the transaction level.We introduce the class tree,flow parameter diagram,structured flow chart,and event-driven finite state machine as structured analysis models.As a sand table to carry maps from different perspectives and levels via an engine,this highly reusable platform provides the mapping topology to search for unintended consequences and the graph theory for comprehensive coverage and smart test cases.Experimental results show that the engine generates efficient test sequences,with a sharp increase in coverage for the same vector count compared with a random test.     

N皇后问题的启发式算法探讨

搜索策略的选择与设计是人工智能领域问题求解的核心问题之一,直接影响到问题求解过程中存储空间的占用和计算的复杂性,影响到问题求解的效率。在给出N皇后问题形式化描述和现有搜索算法的基础上,设计了3种解决N皇后问题的启发式算法,并将其与深度优先和宽度优先等搜索策略进行了分析和比较,得出了几点关于设计启发式算法的启示。