Description: GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现-GUI FOR GENERATING MULTIVARIATE RANDOM VA RIABLES FROM MIXTURE achieve the Matlab Platform: |
Size: 4559 |
Author:黄风 |
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Description: GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现-GUI FOR GENERATING MULTIVARIATE RANDOM VA RIABLES FROM MIXTURE achieve the Matlab Platform: |
Size: 4096 |
Author:黄风 |
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Description: 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 Platform: |
Size: 1338368 |
Author:陈曦 |
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Description: 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 process for selecting the sample, Gaussian- Markov process and so on .. have to run the procedure separately . everyone would like to be useful Platform: |
Size: 10240 |
Author:290412725 |
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Description: 本书介绍了一些常用的图论模型以及图论在通信，统计，优化，图像处理，机器学习等方面的应用-The formalism of probabilistic graphical models provides a unifying
framework for capturing complex dependencies among random
variables, and building large-scale multivariate statistical models.
Graphical models have become a focus of research in many statistical,
computational and mathematical fields, including bioinformatics,
communication theory, statistical physics, combinatorial optimization,
signal and image processing, information retrieval and statistical
machine learning. Many problems that arise in specific instances —
including the key problems of computing marginals and modes of
probability distributions — are best studied in the general setting.
Working with exponential family representations, and exploiting the
conjugate duality between the cumulant function and the entropy
for exponential families, we develop general variational representations
of the problems of computing likelihoods, marginal probabilities
and most probable configurations. We describe how Platform: |
Size: 1815552 |
Author:万毅 |
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Description: 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 Platform: |
Size: 4096 |
Author:Evan |
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Description: 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
- Multivariate Normal
- Generalized inverse Gaussian
- Binomial (2 different ones)
- Negative Binomial
- von Mises
- Cauchy-This is 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
- Multivariate Normal
- Generalized inverse Gaussian
- Binomial (2 different ones)
- Negative Binomial
- von Mises
- Cauchy Platform: |
Size: 448512 |
Author:mudacik |
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Description: 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。 Platform: |
Size: 1024 |
Author:selen32 |
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Description: 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 are given for fitting stable distributions to data and assessing the fit. Utility routines give information
about the program and perform related calculations. Quick spline approximations of the basic
functions are provided. Densities, cumulative distribution functions and simulation for discrete/quantized
stable distributions are described.
The multivariate module gives functions to compute bivariate stable densities, simulate stable random
vectors, and fit bivariate stable data. In the radially symmetric case, the amplitude densities, cumulative
distribution functions, quantiles are computed for dimension up to 100.
The signal filtering module includes functions to compute non-linear filters for signals with heavy tailed
noise. Specifically, a novel stable fi Platform: |
Size: 464896 |
Author:陈鹏 |
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Description: 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，该算法在抑制背景噪声和减少语音失真等方面优
于传统的语音增强方法。-The spectral components of speech are usually assumed to be independent in traditional short-time
spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm
with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform
(DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral
components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed
model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech
presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show
that the developed method has better noise suppression performance and lower speech distortion compared to the
traditional speech enhancement method. Platform: |
Size: 1054720 |
Author:立枣酒 |
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Description: 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 data sorted, which has very important applications in statistical research Platform: |
Size: 4096 |
Author:石文丽 |
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Description: 利用MATLAB制作统计报告或报表；从文件中读取数据到MATLAB；从MATLAB中导出数据到文件；数据的平滑处理、标准化变换和极差归一化变换；生成一元和多元分布随机数；蒙特卡洛方法；参数估计与假设检验；Copula理论及应用实例；方差分析；基于回归分析的数据拟合；聚类分析；判别分析；主成分分析；因子分析；图像处理中的统计应用等。 -Making statistical reports or reports by MATLAB to read data from the file to the MATLAB derived from the data to a file in MATLAB data smooth processing, standardization transformation and range normalization transformation generation of univariate and multivariate distribution random number Monte Carlo method parameter estimation and hypothesis testing Copula theory and examples of application analysis of variance data fitting based on regression analysis cluster analysis discriminant analysis principal components analysis factor analysis image processing in the application of statistics. Platform: |
Size: 17710080 |
Author:yaonan |
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Description: 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. Platform: |
Size: 1024 |
Author:lzz |
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Description: 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 reproduction model.
The detailed documentation can be found in
http://www.math.uu.se/research/telecom/software/
Any suggestions or comments are welcome.
Platform: |
Size: 8192 |
Author:ali |
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Description: 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 get random functions Platform: |
Size: 4096 |
Author:juano |
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Description: 《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 description of the scientific calculation methods, and algorithms are given the source code. About algorithm part introduces the iterative solution of linear equations and direct solution, orthogonal transform and least squares calculation method, robust estimation, random number generation, interpolation, nonlinear equations, multivariate nonlinear optimization algorithm, Numerical methods of differential equations content. Platform: |
Size: 5506048 |
Author:张龙 |
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Description: 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 indenpent standard Gauss space, a kind of gradient iterative algorithm is adopted. Platform: |
Size: 3072 |
Author:王文弟 |
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Description: 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, IDW inverse distance weighting method, Principal component analysis of multivariate data analysis projection, Through repeated training tSOvHRolate have higher recognition rate. Platform: |
Size: 7168 |
Author:wjbnmv |
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Description: 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 program, Rapid expansion of random spanning tree algorithm, Principal component analysis of multivariate data analysis projection. Platform: |
Size: 9216 |
Author:cbarsn |
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Description: 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, matlab development toolbox support vector machine, Principal component analysis of multivariate data analysis projection. Platform: |
Size: 7168 |
Author:njtdbywi |
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