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系统辨识与参数估计源代码。可以对一个未知模型做出估计。-system identification and parameter estimation source code. Can a model to estimate the unknown.
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利用GA算法实现软件测试的测试用例选取,对参数估计进行GA估计-GA algorithm using software testing test cases selected, the parameter estimate is estimated GA
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用新的参数估计方法对正态分布的delta和α进行更为准确的估计。-With a new method of parameter estimation of the delta-normal distribution and α for a more accurate estimate.
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针对混沌参数调制( C P M) 的电力线通信( P L C) 中谐波引起的窄带干扰, 两阶段动态估计方法根据最小
相空间体积( MP S V) 准则估计模型参数, 计算量大。为此, 提出将未知参数合并到增广状态矩阵的联合卡尔曼滤
波方法, 避免了专门的参数估计过程, 在提高增益性能的同时有效降低了计算量。方法的性能通过对混沌电力
线通信下的单音干扰和多音干扰的有效抑制得到了验证。-For the chaotic parameter modulation (CPM) of th
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返回系数估计向量;stats返回各种参数估计;’wfun’指定一个加权函数;tune为调协常数;’const’的值为’on’(默认值)时添加一个常数项;为’off ’时忽略常数项-Return coefficient estimate vector stats back to a variety of parameter estimation ' wfun' to specify a weighting function tune for the co-ordination
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In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterati
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EM algorithm is to solute the problem of parameter maximum likelihood estimation by Dempster, Laind, Rubin in 1977. The EM algorithm can estimate maximum likelihood only through incomplete data set.
-EM algorithm is to solute the problem of parame
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参数估计是图像处理的一个很重要的环节 将坐标转化为对数极坐标可以有效的实现参数的估计 -Image processing parameter estimate is a very important part of the coordinates into polar coordinates on the number of parameters can be estimated to achieve effective
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Kalman parameter estimator source code. Kalman is used a parameter estimator here. By using that algorithm one can estimate the expected value and variance of random variable.
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精密控制结构需要满足先进飞机的使命和对其引航的要求。这就要求飞行器的性能必须满足在低空飞行,低速飞行和大迎角攻击性飞行,全天候,昼夜工作的条件,并且新的控制技术应该成熟。这项工作提出了飞行控制时,状态变量和控制输入是由预先确定的限制范围内的系统控制系统的设计理念。在设计过程使用动态规划的概念。其基本思想涉及非二次泛函最小化。由于一系列限制因素,建议使用光滑函数。同时提出了该综合方法的优点。我们利用对F-18战斗机的纵向控制配置来说明该设计方法。-Indirect adaptive control
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自适应GPC算法,当被控对象参数未知或慢时变时,采用参数估计算法,在线估计出被控对象的参数,然后用参数估计值代替真实值进行控制律的推导。-Adaptive GPC algorithm, when the charged object is unknown or slowly time-varying parameters, the use of parameter estimation algorithms, on-line estimate the parameters of the cont
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denoise
In BayesShrink[5] we determine the threshold for
each subband assuming a Generalized Gaussian
Distribution(GGD) . The GGD is given by
GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6)
¡ 1 <
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针对模型中人为设定参数值的不合理性,对机动时间常数的倒数进行建模,提出新的模型,并给出相应的α-Jerk滤波算法。该模型在估计目标状态的同时,能够实时估计参数α的值。仿真结果表明α-Jerk模型比Jerk模型收敛速度更快,状态估计更精确。并与jerk算法进行了比较。-Artificially set for the model parameter values of the irrational nature of the reciprocal of the moto
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极大似然参数估计,对于已知输入输出数据的情况下,对系统的参数进行估计。-Maximum Likelihood Parameter estimation, for the case of known input and output data to estimate the parameters of the system.
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Bayesian Deblurring with Integrated Noise Estimation-Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms
involve natural image priors and maximum a-posteriori
(MAP) estimation. As a consequenc
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跳频信号参数估计。参数为跳速、跳时和跳频频率集。文档包括一个短时傅里叶变换函数,一个参数估计函数,一个参数估计相对误差随SNR的曲线图和一个时频分析图。-Frequency hopping signal parameter estimation.Parameters for speed, to jump and jump frequency set.Document includes a function of the short-time Fourier transform, a parame
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CCABSS - Blind Source Separation by Canonical Correlation Analysis
Y = CCABSS(X) is the BSS of X=A*S where S is a set of unknown source signals
and A is an unknown mixing matrix. The components in S are supposed to
be independent. Y is an es
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we can use this file to do the estimate with the parameter should detect as what you want.
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Estimate OF gamma distribution parameters and visually compare simulated vs observed data.
ESTIMATION OFF COPULA PARAMETER.
EXAMPLE DATA ATTACHED-Estimate OF gamma distribution parameters and visually compare simulated vs observed data.
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PIII曲线法进行三参数估计,matlab程序(Parameter Estimate of the PearsonIII Distribution)
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