搜索资源列表
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对最大似然估计中的交替投影算法，给出了其仿真的Matlab源程序。-For maximum likelihood estimation of alternating projection algorithm, gives the simulation of Matlab source program.
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2维曲面拟合，gauss or gabor 函数-Functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. This is done by evaluating the quality
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最优估计最有用的 程序的新方法 ，对于新人学习有很大的帮助，请大家多多指教
共同交流-Matable In order to improve the adaptation property of the system by making the best of the direction of distribution of radar measurement errors, a optimum estimation algorithm for Kepler orbit is propose
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这是本人的数值分析作业，希望能帮租到大家，里边有源程序，及解释说明，大家仔细看，肯定会理解-In order to improve the adaptation property of the system by making the best of the direction of distribution of radar measurement errors, a optimum estimation algorithm for Kepler orbit is proposed, whic
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Naive bayes classifer的具体实现，使用多模态事件模型表示，提供EM算法用于半监督和无监督学习，最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised
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绝对是好东西啊！基于极大似然估计的三维定位算法，输入参考点的坐标以及观察点的距离，通过极大似然估计算法计算出观察点的坐标，附送支持矩阵运算的C++类库！-Is definitely a good thing! Calculated by maximum likelihood estimation algorithm based on maximum likelihood estimation of three-dimensional positioning algorithm, enter th
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通过最大似然估计的线性调频分解，计算费舍尔信息矩阵，使用优化过程，计算一个似然函数的海赛矩阵等。-Through the maximum likelihood estimation of linear frequency modulation decomposition, calculate fisher information matrix, the use of optimization process, calculate a likelihood function of the hess
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相关向量机，的极大似然估计文件与SB2配合使用，可以进行扩展-Relevance vector machine, maximum likelihood estimation file with SB2 used in conjunction, can be extended
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极大似然估计法用于系统模型辨识，需要构造一个以观测数据和未知参数为自变量的似然函数。-Maximum likelihood estimation method for system model identification, the need to construct a likelihood function as independent variables to the observed data and the unknown parameters.
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基于Fisher information的优化阵列设计，使用穷举法和迭代法得到优化阵列，再基于最大似然估计研究其MSE、克拉美罗界等性能。-Fisher information based on the optimized array design, use brute-force methods and iterative methods optimize the array, and then based on the maximum likelihood estimation study
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给定数据和相应的概率密度函数、用matlab求解其相应的极大似然估计-Given data and the corresponding probability density function using matlab to solve the corresponding maximum likelihood estimation
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This code implements the High-Resolution Frequency Estimation algorithm in the following paper
Shaw, A. K., “Maximum Likelihood Estimation of Multiple Frequencies with
Constraints to Guarantee Unit Circle Roots,”
IEEE Transactions on S
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利用男女身高体重利用贝叶斯算法，最大似然估计，最小风险估计等进行性别分类判决-The use of male and female height and weight using Bayesian algorithm, maximum likelihood estimation, minimum risk estimation for gender classification ruling
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随机数发生器
此功能会产生连续的值（功法的文章中讨论的五个分布随机分布，指数，对数正态分布，拉伸指数，截止功法）。使用信息包含在文件类型的帮助randht在MATLAB提示符更多信息。
幂律分布拟合
这项功能同时实现的离散和连续的最大似然估计拟合幂律分布的数据，以及善良的合适的方法来估计缩放区域较低的截止。使用信息包含在文件类型的帮助plfit在MATLAB提示符更多信息。-This function is a random number generator will produce
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极值分布的参数的极大似然估计，并绘图比较-Extreme value distribution parameters of maximum likelihood estimation, and drawing comparison
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资料中介绍了几种经典信噪比估计算法的编码并进行比较，包括误差矢量幅值法、最大似然估计、迭代法以及奇异值分解法。-Data introduces several classical coding SNR estimation algorithm and compared, including error vector magnitude, maximum likelihood estimation, iterative method and singular value decomposition
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EM算法，统计中被用于寻找，依赖于不可观察的隐性变量的概率模型中，参数的最大似然估计。程序用C++实现，注释写得很清晰-Expectation-maximization algorithm，based on Maximum Likelihood Estimation,C++ program
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使用最大期望算法可以在概率模型中寻找参数最大似然估计。-Using the maximum expected algorithm can seek parameters of maximum likelihood estimation in the probabilistic model
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对信号进行检测和估计，对信号进行
最大后验估计和最大似然估计-The signal detection and estimation, the signal
Maximum a posteriori estimation and maximum likelihood estimation
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基于MATLAB的模式识别的参数估计的最大似然估计，处理水环境分类问题，共分为5类，最后利用贝叶斯决策得出五类总的识别率。
-Maximum likelihood estimation of parameters of pattern recognition of MATLAB estimation based on classification of water environment treatment problem, is divided into 5 categories, the
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