Description: 一个matlab程序，有关已知方差的高斯分布的均值贝叶斯学习方法。详见程序内说明。-a Matlab procedures, the known variance of the Gaussian distribution of the mean Bayesian learning methods. See Note procedures. Platform: |
Size: 1624 |
Author:贾籽 |
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Description: 利用VC++实现，产生服从高斯分布随机数。其中A，B可以自己设定-VC produce obedience Gaussian distribution random number. Where A and B can be set for Platform: |
Size: 9239 |
Author:transformer |
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Description: 混合高斯分布EM算法，可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。-mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient. Platform: |
Size: 8972 |
Author:连强 |
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Description: 一个用于鲁棒最小二乘支持向量机的函数.可以对奇异点和非高斯分布的数据进行计算.-for a robust least squares support vector machine function. Be right singular point and the non-Gaussian distribution of data calculated. Platform: |
Size: 1568 |
Author:高旭生 |
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Description: 均匀分布的随机数，并依此产生高斯分布随机数，12和法和Box-Muller法产生高斯分布-uniform distribution of random numbers, and so have a Gaussian distribution of random numbers, 12 and the law and Box-Muller method, Gaussian distribution Platform: |
Size: 1191 |
Author:吴俊 |
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Description: 该文件是产生两组随即的高斯分布系列，均值为0，均方差为N/2-The document was then produced two series of Gaussian distribution, the mean of 0 and standard deviation of the N / 2 Platform: |
Size: 515116 |
Author:king |
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Description: 对雷达杂波中正态对数分布的高斯谱杂波的仿真.-pair of radar clutter CKS state of the Gaussian distribution of the clutter spectrum simulation. Platform: |
Size: 1530 |
Author:lyf |
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Description: 用来产生均匀分布或高斯分布的伪随机数 （近似白噪声），它们可具有不同的均值和方差。用REMEZ算法求交错点组。用Cholesky分解求ARMA模型的参数并作谱估计。求MA模型的参数 并估计功率谱。 用最小方差法估计序列 的功率谱。-used to produce uniform or Gaussian distribution of the pseudo-random number (similar to white noise). They may have a different mean and variance. Application of Remez algorithm used for staggered Point Group. Cholesky decomposition used for ARMA model and the parameters estimated for the spectrum. MA for the model parameters and the estimated power spectrum. With MVM sequence of the estimated power spectrum. Platform: |
Size: 5586 |
Author:zhoujianfang |
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Description: 产生高斯分布的白噪声的方法. 数据输出格式为txt. 可以读取到其它程序中, 作为后续开放使用. -have a Gaussian distribution of white noise method. Data output format txt. Can be read into other procedures, As a follow-up opening. Platform: |
Size: 7088 |
Author:邹海林 |
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Description: matlab的随机过程仿真实现，包含泊松过程，指数分布，高斯分布等-matlab random process simulation to achieve, including the Poisson process, exponential distribution, Gaussian distribution Platform: |
Size: 9764 |
Author:testsb |
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Description: 信号经过两个独立的信道传输，两个信道的信道复增益分别为 和 。 是独立同分布的复高斯随机变量，实部虚部独立、均值为0，实部虚部的方差都是1。采用某分集技术后输出的信噪比为 ，其中 是常数， 是在 之间均匀分布的随机变量。请就不同的 、 ，用仿真的方法画出 的累积分布函数。-signal after two independent Channel Tunnel, Channel 2 Channel Minute respectively, and gain. Independence is the same complex Gaussian distribution of random variables, is the imaginary part of the Department of independence, mean 0 and the real part of the imaginary part is a variance. Using a diversity of the output signal-to-noise, which is constant, is the uniform distribution between random variables. Please different, and simulation methods paint the cumulative distribution function. Platform: |
Size: 1024 |
Author:昭 |
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Description: 這個事檔案是一個基礎的MIMO ofdm vblast的通訊平台, 可以對一個高斯分佈rp行程的數位信號找出其error rate performance-this is a matter files based on the MIMO OFDM vblast communications platform, can a Gaussian distribution rp itinerary digital signal to identify its error rate performanc e Platform: |
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Author:李義嵐 |
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Description: PCA（主成分分析）算法被广泛应用于工程和科学研究中，本报告主要从PCA的基本结构和基本原理对其进行研究，常规的PCA算法主要采用线性算法，通过研究论证发现线性的PCA算法存在着许多不足，比如线性PCA算法不能从线性组合中把独立信号成分分离出来，主分量只由数据的二阶统计量—自相关阵确定，这种二阶统计量只能描述平稳的高斯分布等，因此必须对其进行改进，经改进后的PCA算法有非线性PCA算法、鲁棒算法等。我们通过PCA算法在直线（平面）中拟和的例子说明了PCA在工程中的应用。本例子采用的是成分分析中的次成分（方差最小的成分），通过对结果的分析，我们可以看出，利用PCA算法可以得到较好的拟和结果。-PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algorithm, found through research and demonstration linear PCA algorithm, there are many inadequate, For example, not linear PCA algorithm from the linear combination of the independent signal components separated, PCA data only from the second-order statistics-auto-correlation matrix to determine, Such second-order statistics can only describe a smooth Gaussian distribution, it is necessary to improve it. After the improvement of the PCA algorithm is nonlinear PCA algorithm, robust algorithm. PCA algorithm we passed the line (plane), and to be example Platform: |
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Author:东方云 |
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Description: 高斯分布源程序，基于三角函数产生的，希望大家多指点，交流-Gaussian distribution source, based on the trigonometric function, we hope that more guidance and exchanges! Platform: |
Size: 1024 |
Author:陈波 |
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