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GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现-GUI FOR GENERATING MULTIVARIATE RANDOM VA RIABLES FROM MIXTURE achieve the Matlab
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Random Process e-Books the rationale (basic principle ) about multivariate
probability and so on-Random Process e-Books the rationale (basic principle) about multivariate probability and so on
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这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用-This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian proces
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一个MATLAB程序，用以产生多变量高斯随机过程的样本-A MATLAB program used to generate the samples for multivariate Gaussian random process
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This a random source code for delphi. Examples ramdom functions as follows:
The following Random Number Generators:
- Normal (Gaussian)
- Gamma
- Chi-squared
- Exponential
- Weibull
- Beta
- t
- Mult
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用来产生多变量高斯过程的MATLAB源程序。-MULTI_GP generates a multivariate Gaussian random process with mean vector m (column vector) and covariance matrix C。
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User Manual for STABLE 5.1-This manual gives information about the STABLE library, which computes basic quantities for univariate
stable distributions: densities, cumulative distribution functions, quantiles, and simulation. Statistical
routines
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传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这
一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT)
系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表
示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的
语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法
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生成多元正态分布的随机数，将其按列的形式放在一个矩阵中，并对其按行进行排序，然后记录数据排序后的大小位置，这在统计研究中有很重要的应用。-Multivariate normal distribution of the random number generator, which was placed in the form of a matrix of columns and rows to sort them, and then record the size of the position
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非参数估计——直方图方法，估计多元随机变量的概率密度函数。-Non-parametric estimation- histogram method, estimate the probability density function of multivariate random variables.
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MATLAB routines to simulate and visualize some of the often
encountered stochastic processes: random walk, Brownian motion,
Poisson process and their multivariate analogues, and also birth and
death process, branching process and Moran s reprod
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It is a series of tests to show how to sample Gaussian processes in Python and multivariate functions in order to get random functions-It is a series of tests to show how to sample Gaussian processes in Python and multivariate functions in order to
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《C#科学计算讲义》较为详细地介绍了科学计算方法，并对算法给出了源代码。关于算法部分主要介绍了线性方程组的迭代解法与直接解法、正交变换与最小二乘计算方法、鲁棒估计、随机数的产生、插值法、非线性方程求解、多元非线性最优化算法、微分方程数值方法等内容。-" C# Scientific Computing Lecture" a more detailed descr iption of the scientific calculation methods, and algorithm
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一次可靠度的HLRF算法。随机向量的概率模型采用Nataf分布，考虑变量相关性。验算点搜寻采用U空间的梯度迭代算法。-This is a first-order reliability method based on HLRF algorithm. A multivariate distribution model,Nataf model,is used to generate the random variables. To search the design point in indenpe
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快速扩展随机生成树算法，包含位置式PID算法、积分分离式PID，DC-DC部分采用定功率单环控制，IDW距离反比加权方法，多元数据分析的主分量分析投影，通过反复训练模板能有较高的识别率。-Rapid expansion of random spanning tree algorithm, It contains positional PID algorithm, integral separate PID, DC-DC power single-part set-loop control, ID
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信号处理中的旋转不变子空间法，进行逐步线性回归，线性调频脉冲压缩的Matlab程序,包含收发两个客户端的链路级通信程序,快速扩展随机生成树算法，多元数据分析的主分量分析投影。- Signal Processing ESPRIT method, Stepwise linear regression, LFM pulse compression of the Matlab program, Contains two clients receive link-level communications
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有信道编码，调制，信道估计等，用于时频分析算法，仿真效率很高的，快速扩展随机生成树算法，matlab开发工具箱中的支持向量机，多元数据分析的主分量分析投影。- Channel coding, modulation, channel estimation, For time-frequency analysis algorithm, High simulation efficiency, Rapid expansion of random spanning tree algorithm, matl
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相关分析过程的matlab方法，多元数据分析的主分量分析投影，LCMV优化设计阵列处理信号，快速扩展随机生成树算法，主要是基于mtlab的程序，ICA（主分量分析）算法和程序。- Correlation analysis process matlab method, Principal component analysis of multivariate data analysis projection, LCMV optimization design array signal process
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应用小区域方差对比，程序简单，外文资料里面的源代码，多元数据分析的主分量分析投影，加入重复控制，快速扩展随机生成树算法，单径或多径瑞利衰落信道仿真。- Application of small area variance comparison, simple procedures, Foreign materials inside the source code, Principal component analysis of multivariate data analysis project
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快速扩展随机生成树算法，利用最小二乘法进行拟合多元非线性方程，均值便宜跟踪的示例。- Rapid expansion of random spanning tree algorithm, Multivariate least squares fitting method of nonlinear equations, Example tracking mean cheap.
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