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81.
提出了一种基于非线性盲辨识的自适应数字接收机技术。由于宽带雷电信号的时频特征未知或时变,在频域对宽带数字接收机输出信号中的谐波与互调分量进行识别和分选,并以其短时能量最小化作为其非线性行为模型参数的盲辨识准则,利用最速下降算法实现模型参数的自适应提取和更新,然后在线实时地对接收机输出信号进行非线性补偿。实验结果表明,该盲辨识数字接收技术可以将整机的无杂散失真动态范围(SFDR)提高近20dB,极有利于在强干扰存在时对微弱信号的接收与检测。  相似文献   
82.
系统辨识是研究建立系统数学模型的理论与方法.讨论系统辨识涉及的一些基本问题,包括辨识精度、辨识方法的提出,辨识输入信号的设计,参数可辨识性与系统可辨识性,开环可辨识性与闭环可辨识性,可辨识性与能控性和能观测性的关系,可辨识性与输入信号的关系,以及与辨识方法收敛性相关的激励信号与激励条件,辨识算法收敛分析的基本工具,典型辨识算法的收敛结论等.  相似文献   
83.
This paper describes the identification of finite dimensional, linear, time‐invariant models of a 4‐story building in the state space representation using multiple data sets of earthquake response. The building, instrumented with 31 accelerometers, is located on the University of California, Irvine campus. Multiple data sets, recorded during the 2005 Yucaipa, 2005 San Clemente, 2008 Chino Hills and 2009 Inglewood earthquakes, are used for identification and validation. Considering the response of the building as the output and the ground motion as the input, the state space models that represent the underlying dynamics of the building in the discrete‐time domain corresponding to each data set are identified. The time‐domain Eigensystem Realization Algorithm with the Observer/Kalman filter identification procedure are adopted in this paper, and the modal parameters of the identified models are consistently determined by constructing stabilization diagrams. The four state space models identified demonstrate that the response of the building is amplitude dependent with the response frequency and damping, being dependent on the magnitude of ground excitation. The practical application of this finding is that the consistency of this building response to future earthquakes can be quickly assessed, within the range of ground excitations considered (0.005g–0.074g), for consistency with prior response—this assessment of consistent response is discussed and demonstrated with reference to the four earthquake events considered in this study. Inclusion of data sets relating to future earthquakes will enable the findings to be extended to a wider range of ground excitation magnitudes. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   
84.
为了提高结构损伤识别的精确度和适用性,将小波分析引入到结构损伤识别中.本文介绍了梁结构在完好状态与损伤状态下振动测试加速度差的理论分析,证明了小波分析加速度差应用于桥梁结构损伤检测的可行性.然后以小波分析为工具,在桥梁结构不同损伤状态下,以移动荷载作用下各节点的加速度时程曲线差为研究对象,来识别结构的损伤状态.并通过试...  相似文献   
85.
文中阐述基于小波变换的结构模态参数辨识方法的基本原理.首先介绍Heisenberg测不准原理,该原理限制了时频能量的同时集中.因小波变换的窗口可以随信号特征不同而变化,符合实际信号的要求.然后论述利用小波脊线的方法识别单自由度和多自由度系统的模态参数的理论.将该方法应用于某型补燃循环液体火箭发动机模态参数辨识中,得到了...  相似文献   
86.
87.
在不同的天气条件下,由于气溶胶对光波的散射作用,通过成像系统获得的图像都会有一定程度的退化。利用图像的退化模型可以获取与天气现象相关的参量,从而达到识别天气的目的。对不同天气条件下得到的同一场景图进行研究,运用多垂线检测法,检测出不同天气条件下直线模糊边缘上的灰度值,采用signloid函数拟合出刃边函数,进而求出线扩散函数。通过分析线扩散函数的变化规律,总结出其与天气现象之间的紧密联系。测试结果表明,应用该方法对于晴天、薄雾、雨、霾、沙尘暴等天气现象具有一定的判别效果。  相似文献   
88.
从徐闻珊瑚保护区的8种珊瑚中分离共附生真菌,以获得珊瑚共附生可培养真菌的多样性信息。选用5种培养基,采用平板涂布法培养分离共附生真菌,并进行形态鉴定。8种珊瑚共分离121株真菌,鉴定了其中97株真菌,分属于14个属,青霉属和枝孢霉为优势种属,其次是曲霉属和木霉属。二异角孔珊瑚上分离出22株,数量最多;盔型珊瑚上分离菌株数量最少仅8株。除优势种属外,不同珊瑚样品上真菌种类分布有较大差异,炭角菌属和葡萄穗霉菌属均来源于盔形珊瑚,镰刀菌属在盔形珊瑚和角孔珊瑚上较为常见,盔形珊瑚样品上还分离出2株散囊菌属,1株节菱孢属,因此盔形珊瑚的种群最为丰富;不同培养基分离真菌的能力不同,淀粉培养基分离的菌株最多占所有分离菌株的30.6%,CDA培养基最少,但种类特异。  相似文献   
89.
Diaspora engagement is a growing trend and many governments, international organisations and policy makers are increasingly focusing on the role of diaspora in development strategies for the homelands. Such policies are predominantly critical to island-dense regions such as the Caribbean and Pacific that have suffered high rates of outmigration during the postcolonial period. One such Pacific island is Pitcairn, a British Overseas Territory, and is the focus of this article. But while most of the literature focuses on the positive benefits of diaspora engagement, this paper examines the dynamics of diaspora (dis)engagement and (dis)affection. Each diaspora has a unique set of needs and capabilities based on its historical experience and the present realities of its countries of origin and destination. While much has been written celebrating the role of diasporas in development, diaspora have also shown themselves to have dual natures, with sometimes conflicting identities and allegiances. Based on analysis of a recent Pitcairn Diaspora Survey and ethnographic data, discussion in this paper reveals that the best intentions of engaging diaspora for development can be impeded by several factors including: (1) the complex nature of identity, place and politics; (2) difficult negotiations between past, present and future intentions of movers; and (3) shifting ‘roots/routes’ and boundaries of identification. Consequently, the paper aims to highlight the realities of settlement and relationships of diaspora space and subjectivity with the homeland.  相似文献   
90.
Trend identification is a substantial issue in hydrologic series analysis, but it is also a difficult task in practice due to the confusing concept of trend and disadvantages of methods. In this article, an improved definition of trend was given as follows: ‘a trend is the deterministic component in the analysed data and corresponds to the biggest temporal scale on the condition of giving the concerned temporal scale’. It emphasizes the intrinsic and deterministic properties of trend, can clearly distinguish trend from periodicities and points out the prerequisite of the concerned temporal scale only by giving which the trend has its specific meaning. Correspondingly, the discrete wavelet‐based method for trend identification was improved. Differing from those methods used presently, the improved method is to identify trend by comparing the energy difference between hydrologic data and noise, and it can simultaneously separate periodicities and noise. Furthermore, the improved method can quantitatively estimate the statistical significance of the identified trend by using proper confidence interval. Analyses of both synthetic and observed series indicated the identical power of the improved method as the Mann–Kendall test in assessing the statistical significance of the trend in hydrologic data, and by using the former, the identified trend can adaptively reflect the nonlinear and nonstationary variability of hydrologic data. Besides, the results also showed the influences of three key factors (wavelet choice, decomposition level choice and noise content) on discrete wavelet‐based trend identification; hence, they should be carefully considered in practice. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   
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