- 更多网络例句与估计理论相关的网络例句 [注：此内容来源于网络，仅供参考]
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The contents from the third chapter to the fifth chapter are the kernels which are a series of applications of generalized regression model and generalized regression estimator. At first, this paper constructs ratio model, linear regression model, post-stratified regression model and nonparametric regression model through different regressive relationship between auxiliary variable and study variable.
首先是依据辅助变量与研究变量之间回归关系的不同，分别建立比率模型、线性回归模型、事后分层回归模型和非参数回归模型，然后再利用第二章中推导出的广义回归估计理论，对各种回归模型辅助下(来源：A4bBC12论文网www.abclunwen.com)的估计方法进行了系统性研究，从而构成了模型辅助估计方法的整个研究体系。
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Finishing calculation of mean value, standard deviation, skewness, kurtosis of Beta distribution.(2) Fitting parameters of many kinds of typical distribution and using residual deviation to evaluate fitting precision.(3) Using Beta distribution as an agreed indication distribution applied to many kinds of practical photoelectric measurement distributions.(4) Deriving theory formula of Bayes point estimation about Beta distribution parameters and mean value and standard deviation on the condition of mean square error loss function and supposed the prior distribution is uniform distribution.(5) Generating MCMC sample from post distribution by the method of Gibbs sample algorithm. Calculating bayes point estimation from sample on the condition of mean square error loss function. Calculating confidence interval by an approximate method to complete interval estimation.
本文的主要工作有：(1)解决了Beta分布参数a和b的精确计算以及均值、标准差、偏度、峰度的计算问题；(2)拟合出10余种典型分布的Beta分布的两个参数，并且采用剩余标准差评价该Beta分布的拟合精度；(3)对多种典型的光学与光电测量系统的测量分布进行了Beta分布统示表示；(4)在假设先验分布为均匀分布前提下，得到参数a和b以及均值μ和标准差σ在均方误差损失函数下的贝叶斯点估计理论计算公式；(5)利用直接抽样的Gibbs抽样算法，从后验分布中产生MCMC样本，从样本直接计算均方误差损失函数下的贝叶斯点估计，并使用一种近似方法计算其置信区间，完成区间估计。
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The main job and contribution of this paper are as follows:Based on narrowband signal processing, we propose a new method for FH signal blind detection and blind parameter estimation. Firstly, compute the cross-correlation function of FH signals from multichannels, then we get the cross power spectral density matrixCSDM Secondly, select the hops of FH signals from the CSDM via processing and analyzing the CSDM, meanwhile reduce the influence coming from noise, fixed frequency signal and other interferences; Lastly, estimating the DOA of every hop and according to the DOA, we can separate the hops, get the number of FH signals and their parameters. Propose a new method for designing the threshold in FH signal detection. This method makes it easy to get the threshold by theoretic computing and it can extremely reduce the interference of non-FH signals.Based on broadband signal processing, we propose a new method for FH signal blind detection and blind parameter estimation. Firstly, get the DOA of the signals by wideband spatial spectrum estimation; secondly, separate the signals by spatial filtering using wideband beamformer; Lastly, we propose two methods for FH signal blind detection and blind parameter estimation, one is for several constant hop-rate FH signals whose dwell-time are different and another is for a single FH signal whose hop-rate is alterable.By employing spatial interpolation in broadband signal beamforming, it can reduce the number of antenna elements and corresponding RF modules, A/D converters, etc. It can also eliminate the mutual coupling between antenna elements while getting the narrower main beamwidth and lower sidelobe level.
本文的主要研究工作和贡献如下：●提出了一种基于窄带处理的FH信号盲检测和参数盲估计的实现方法，即首先求出多路信号之间的互相关，进而得到互功率谱密度矩阵，然后通过对CSDM进行对折处理来抑制噪声、定频信号及其他干扰的影响，并将所有属于FH信号的hop(每一跳的驻留时间在时频图上持续的线段)从CSDM中筛选出来，最后用阵列信号处理中的到达方向估计理论在频域中估计出各个hop的方向参数，利用方位信息完成FH信号分离并得到FH信号的数目及其各自的参数集；●提出了一种确定FH信号检测门限的策略，该策略不仅使得检测门限能够通过理论计算得到，而且还显著地抑制了非跳频信号的干扰，从而能有效地检测出FH信号；●提出了一种基于宽带处理的短波FH信号盲检测和参数盲估计的实现方法，即首先利用宽带空间谱测向技术得到接收信号的DOA，然后采用宽带波束形成技术对特定方向进行空间滤波，实现多个信号的分离，最后分别提出了两种FH信号的盲检测和参数盲估计方法，第一种方法适用于空间某个特定方向上存在着几个驻留时间不同的恒跳速FH信号和其他干扰信号的混合信号，第二种方法适用于空间某个特定方向上仅含一个可变跳速的FH信号和噪声的混合信号；●将空间插值的概念和宽带波束形成技术结合起来，提出了一种基于频域处理的宽带恒定束宽的波束形成方法。
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Secondly, the main principium and method of the maximum possibility estimation theory were discussed.
本文首先介绍可能性理论和模糊数的相关概念，为极大可能性估计理论研究奠定理论基础，并构造了一种新的模糊数——对数模糊数。
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Information fusion estimation theory, as a basic problem in control and signal processing regions also is an important theory basis for information fusion theory, which has been researched widely at present.
信息融合估计理论一直是控制、信号处理等领域的基本问题，也是现在研究非常广泛的信息融合理论的一个重要理论基础。
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First, mathematical foundation of synchronization, i.e. the theory of parameter estimation is introduced. Then, DA/DD or NDA timing synchronization methods based on the ML estimation of timing parameter are presented. They are all widely applied in actual digital communication systems. Interpolation theory in digital signal processing has application in timing synchronization, which makes the sampling clock independent of the timing control so that timing adjustment is realized completely through digital disposal. The issue of interpolation in timing synchronization is discussed.
首先，介绍了定时同步实现的数学基础，即信号参数估计理论；从定时参数的最大似然估计出发，介绍了基于数据辅助的定时同步方法和基于非数据辅助的定时同步方法，他们在实际的数字通信系统中均有广泛应用；论文探讨了数字信号处理中插值理论在定时同步中的应用，它使得接收端的采样时钟独立于定时控制，定时调整完全通过数字处理方法得以实现。
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The main contents of this course include: the principles and methods of statistical modeling, the estimation, testing and diagnosis of linear regression model, the theories and analytic methods of time series model, robust estimation theory, a simple introduction of general model and non-parameter model.
本课程的内容有：统计建模的原理与方法、回归模型的估计与检验问题、线性回归模型的诊断分析、时间序列模型的理论与分析方法、稳健估计理论、广义模型与非参数模型简介。
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The papes utilizer Parzen's kernel estimate theory which was used in estimating the function ofprobability intensity and Chen Xiru's results in the field to strictly prove the following fact.Whenusing non-completeness knowledge sample W to find the law which W would be kept to,thefrom:is closer to real pthan the estimate of rectangular diagram.
本文借鉴Parzen提出的概率密度函数的核估计理论和陈希孺教授等研究的结论，用概率论的方法严格证明了下列事实：用非完备知识样本估计其观测值应遵循的概率分布规律时，扩散型估计：得到的分布比用直方图法得到的估计更接近于真实概率分布p。
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The electric control system of theodolite and tracking sensors' characteristics is investigated deep. Based on these characteristics and data fusion structure theory, the data fusion structure in the theodolite system is advanced. The theory method of multi-sensor data fusion is studied deep. And more, the estimate theory of data fusion is applied concretely to the theodolite with the aim of prognosticating the object state.
本文首次提出了将多传感器数据融合技术应用到光电经纬仪系统中，在深入研究光电经纬仪电控系统和跟踪传感器特性基础上，并结合数据融合结构理论，提出了光电经纬仪跟踪测量系统数据融合结构；深入研究了多传感器数据融合的理论方法，并实验研究了数据融合的估计理论在光电经纬仪中的应用，目的是实现对目标状态的预测。
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Based on the optimal filters, various recursive algorithms of the optimal smoothing estimation under white-noise condition are derived, and problems of reducing storage requirements and computational load for the fixed-interval smoothers are discussed, moreover, optimal smoothers under various noise conditions are proposed, thus, the optimal state smoothing theory is founded.
在最优滤波算法的基础上，本文推导出白噪声情形下的状态最优平滑估计的各种递推算法，讨论了减少固定域平滑的存贮空间和提高运算速度问题，并提出了在多种噪声条件下的平滑估计方法，从而建立了这类系统的状态最优平滑估计理论。
- 更多网络解释与估计理论相关的网络解释 [注：此内容来源于网络，仅供参考]
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estimation of reliability parameter：可靠度參數估計
"估计","estimation" | "可靠度参数估计","estimation of reliability parameter" | "估计理论","estimation theory"
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On-line parameter estimation of transmission line：线路参数在线估计
滑移线:slip line field theory. | 线路参数在线估计:On-line parameter estimation of transmission line | 传输矩阵理论:transmission matrix theory
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estimation theory：估计理论
estimated accuracy 估计精度 | estimation theory 估计理论 | EUVE, Extreme Ultraviolet Explorer 极紫外探测器
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asymptotic estimation theory：渐近估计理论
asymptotic error | 渐近误差 | asymptotic estimation theory | 渐近估计理论 | asymptotic expansion solution | 渐近级数展开法
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Power System State Estimation: Theory and Implementation：电力系统状态估计: 理论和实现
161. Electrical power cable engineering 电力线缆工... | 162. Power System State Estimation: Theory and Implementation 电力系统状态估计: 理论和实现 | 163. Dielectrics in Electric Fields 电场中的电介质(绝...
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Power System State Estimation: Theory and Implementation：电力体系状况估计: 理论以及使成为事实
161. Electrical power cable engineering 电力线... | 162. Power System State Estimation: Theory and Implementation 电力体系状况估计: 理论以及使成为事实 | 163. Dielectrics in Electric Fields 电场中的电媒质...
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theory of estimation：估计理论
近似理论;逼近理论 theory of approximation | 估计理论 theory of estimation | 赛局论 theory of games
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Theory Of Point Estimation E.L.Lehmann：点估计理论
166. Real Analysis And Probability Robert B.Ash实分析与概率论 22 | 167. Theory Of Point Estimation E.L.Lehmann点估计理论 25 | . 168Testing Statistical Hypotheses E.L.Lehmann假设检验 25
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Robust Estimation：稳健估计
到费歇尔的一些被人遗忘的研究工作的推广,再进一步到稳健估计(robust estimation)及探索性数据分析. 他从研究深奥的数学理论起家,...
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transmission matrix theory：传输矩阵理论
线路参数在线估计:On-line parameter estimation of transmission line | 传输矩阵理论:transmission matrix theory | 利润转移理论:Theory of Profit Transmission