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用中心极限定理产生高斯噪声
用Box-Muller方法产生高斯噪声
用于二进制双极性基带通信系统仿真,Central limit theorem with Gaussian noise generated by Box-Muller methods for Gaussian noise bipolar binary base-band communication system simulation
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利用中心极限定理产生标准正态分布随机数，并进行检验；编制一个界面，产生（0，1）均匀分布随机数，并检验其主要统计量性质。-Central limit theorem using the standard normal distribution random number generation, and tested the preparation of an interface, resulting in (0,1) uniformly distributed random numbers,
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用中心极限定理产生高斯白噪声，能直接运行，可以看出效果图-Central limit theorem with Gaussian white noise have a direct run, one can see the effect of map
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分别用中心极限定理和Box-Muller方法产生高斯噪声-Central limit theorem, respectively, and Box-Muller methods Gaussian noise
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Matlab下利用同余算法产生一组伪随机数，并利用中心极限定理构造正态分布序列，验证其正态性并编写自相关函数计算其自相关-using the congruence algorithm to generate a set of pseudo-random number , and use the central limit theorem to construct a normal distribution sequence, and then verify the normality and u
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概率统计实验源程序！这是一个学习使用概率中心极限定理的工具箱，GUI界面，非常好！-Experimental source of Probability and Statistics! This is a learning to use the central limit theorem the probability of the toolbox, GUI interface, very good!
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分别用中心极限定理和Box-Muller方法产生高斯噪声，用于二进制双极性基带通信系统仿真，比较其仿真运行时间及结果，并简单分析其原因-Central limit theorem, respectively, and Box-Muller methods Gaussian noise for bipolar binary baseband communication system simulation, compared to running time and the results of si
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验证中心极限定理，即将若干个不相关随机变量相加-Verify the central limit theorem, not related to the forthcoming number of the sum of random variables
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使用中心极限定理分布产生高斯白噪声序列的c代码以及执行文件-Using the central limit theorem the distribution of Gaussian white noise sequences generated c code, and executable files
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中心极限定理和Box-Muller方法产生高斯噪声
并用于二进制双极性基带通信系统仿真-The central limit theorem and the Box-Muller method of Gaussian noise and used to generate a binary bipolar baseband communication system simulation
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中心极限定理的验证，三种独立分布具有同样的均值与方差，大量叠加后分布趋于正态-Central limit theorem verification, three kinds of independent distribution has the same mean and variance, a large number of superimposed normal after the distribution tends
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Central Limit Theorem
CLT
Example
Normal Approximation to the Binomial
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1.median_filter
(功能:使用中值濾波器去除雜訊)
2.mean_filter
(功能:使用平均濾波器去除雜訊)
3.fl_stein
(功能:使用誤差擴散法,將影像量化和混色)
4.Central_limit
(功能:畫圖並證明中央極限定理)
-1.median_filter
(function: use median filter to remove noise)
2.mean_filter
(funct
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分别用中心极限定理和Box-Muller方法产生高斯噪声，用于二进制双极性基带通信系统仿真，比较其仿真运行时间及结果。-Central limit theorem and were used Box-Muller method for generating Gaussian noise for binary bipolar baseband communication system simulation, and compared the results of the simulation ru
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分别用中心极限定理和box-muller法生成高斯噪声-Central limit theorem were used to box-muller method and the Gaussian noise generated
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中心极限定理的验证 利用二项分布证明-Validate the use of the central limit theorem to prove the binomial distribution
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利用系统时间产生均匀分布随机数，再利用中心极限定理产生高斯白噪声。有详细注释和合理性验证。-Use the system time to produce uniform distribution of random numbers, then use the central limit theorem generated Gaussian white noise. There are detailed notes and reasonable verification.
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利用C语言编程产生随机数，先产生0-1均匀分布随机数，再利用中心极限定理产生高斯分布随机数。-
Using the C programming language to generate random numbers, uniformly distributed by first generating a random number 0-1, and then use the central limit theorem Gaussian random number generation.
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中心极限定理的仿真，利用matlab实现，很好的例子啊-The Central Limit Theorem simulation using matlab to achieve a good example
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用Monte Carlo方法验证不同变量下中心极限定理依然成立-The central limit theorem is still valid with the Monte Carlo method to verify the different variables
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