Description: 呼叫阻塞率的计算和仿真：在时间轴上考虑。无论阻塞与否，下一呼叫到达时刻为当前呼叫到达时刻加上服从参数为1/λ的指数分布的呼叫间隔时间。一个呼叫到达时只需要判断呼叫的到达时刻和各个信道服务完成时刻的先后：如果前者比后者中任意一个大，说明至少有一个信道服务完成时刻比此呼叫到达时刻早，即此信道空闲，此时呼叫成功，应该先把此信道下一个服务完成时刻置为当前呼叫到达时刻，再加上服从参数为μ的指数分布的服务时间；反之，如果前者比后者中全部都小，说明所有信道在此呼叫到达后才会结束服务，即当前忙，此呼叫被阻塞掉了-call blocking probability calculation and simulation : the time frame to consider. Whether or not blocked, the next call arrived at the present moment to call time arrived with a subordinate parameters / index distribution of the call interval. A call arrived only judgment call and the arrival time each channel service has completed a moment : If the former than the latter an arbitrary, and at least one channel is completed service calls than this moment arrived moments earlier, that this channel is idle, call this success, should first get here Channel a moment of complete services for the current call home arrival time, coupled with the parameters obey the exponential distribution services; Conversely, if the former than the latter, all small, with all the Channel call arrived only aft Platform: |
Size: 12349 |
Author:徐鹏 |
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Description: N个并列的单通道等待制系统，各服务员能力相等，服务时间服从指数分布，顾客的总体到达服从指数分布，用Monte－Carlo方法，按1…N的顺序循环排入-N tied for the single-channel system, the attendant equal ability, service to follow exponential distribution, customers submit to reach the overall index distribution, Monte-Carlo method, in accordance with an order of the N ... into the circle Platform: |
Size: 2130 |
Author:李丹 |
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Description: 产生服从指数分布的随机序列，用C语言编写的。可以用于通信系统的信源端。-have exponential distribution of the random sequence, using the C language. Can be used for communication system- the source of the letter. Platform: |
Size: 15360 |
Author:张志斌 |
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Description: （1）满足均匀分布的[M,N]区间随机数，其中M,N是正整数。
(2) 满足指数分布的[M,N]区间随机数，其中M,N是正整数。
-(1) satisfy the uniform distribution of [M, N] interval of random numbers, in which M, N be a positive integer. (2) to meet the exponential distribution of [M, N] interval of random numbers, in which M, N be a positive integer. Platform: |
Size: 565248 |
Author:dypcsx |
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Description: 概率密度或分布通用函数，其中包括正态分布，二项分布，指数分布等-Probability density or distribution of generic functions, including normal distribution, binomial distribution, exponential distribution Platform: |
Size: 2048 |
Author:yuyanhui |
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Description: 产生符合均匀分布、高斯分布、指数分布、泊松分布，伽玛分布等的随机数-Produced in line with the uniform distribution, Gaussian distribution, exponential distribution, Poisson distribution, gamma distribution of the random number Platform: |
Size: 144384 |
Author:wb |
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Description: 随机变量的产生，其中指数分布的和高斯分布的随机变量采用了变换法，分析它的自相关函数和功率谱密度，-The selection of random variables, in which exponential distribution and Gaussian distribution of random variables using the transformation method, analysis of its autocorrelation function and power spectral density, Platform: |
Size: 8192 |
Author:liuminsheng |
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Description: 讨论了生成0－1之间均匀分布随机数的一些算法，进而给出了由0－1之间均匀分布生成指数分布、正态分布、二项分布等常用分布的一般算法。-Discussed between 0-1 to generate random numbers uniformly distributed in a number of algorithms, which are given by the uniformly distributed between 0-1 generate exponential distribution, normal distribution, binomial distribution and other commonly used general algorithm. Platform: |
Size: 5120 |
Author:王海波 |
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Description: 设计一个M/M/S/k排队系统模型，用C++进行仿真，计算一个新的服务请求在各个状态k下的阻塞率，绘制出到达率-阻塞率曲线(matlab)，并将理论值与仿真值进行比较。
M/M/S/k模型为服务请求到达间隔时间服从泊松分布、服务时间服从指数分布、系统有S个服务器、系统容量为k（有限个）的排队系统。如果一个服务请求到达排队系统时，系统内已有k个服务请求，那么这个服务请求就会被拒绝（即不为该服务请求安排服务器，也不会将其排入系统队列）。由于系统容量为k，有S个服务器，所以系统队列的长度为k-S。-The design of a M/M/S/k queuing system model, with C++ for simulation, calculation of a new service request in every state under the blocking rate k, the arrival rate of drawing- blocking probability curve (matlab), and the theoretical value and simulation values.
M/M/S/k model for the service request arrival time to obey Poisson distribution, exponential distribution of service time, the system has S servers, the system capacity of k (finite) of the queuing system. If a service request arrival queuing system, the system has k service request, then the service request will be rejected (that is, do not arrange for the service request server, nor will its queue into the system). Since the system capacity for the k, there are S servers, so the length of the queue system kS. Platform: |
Size: 112640 |
Author:张三 |
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Description: 随机数生成类。封装c++的rand函数，用于生成均匀、正态、伽马、贝塔、泊松、指数、几何等分布规律的随机数。
内含生成各分布的算法源码。各分布可通过ts测试。-A random number generator class. it Packages the rand function of C++,and is used to generate uniform, normal, gamma, beta, Poisson, exponential, geometric and other distribution of the random numbers. all The distributions can pass ts test. Platform: |
Size: 4096 |
Author:winxp |
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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: 10240 |
Author:马文涛 |
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Description: 常用随机数发生器，C实现
/*
* 文件包含了6个函数，它们能产生符合相应分布的规律的随机数：
* GenUniformRnd ： 产生一个随机数，符合均匀分布。（伪随机序列）
* GenBernoulliRnd ： 产生一个随机数，符合伯努利分布。
* GenBinomialRnd ： 产生一个随机数，符合二项分布。
* GenPoissonRnd ： 产生一个随机数，符合泊松分布。
* GenExponentRnd ： 产生一个随机数，符合指数分布。
* GenGaussRnd ： 产生一个随机数，符合高斯分布。
*/-Common random number generator, C implementation /** file contains six functions, they can produce in line with the corresponding distribution laws of random numbers:* GenUniformRnd: generate a random number, in line with evenly distributed. (Pseudo-random sequence)* GenBernoulliRnd: generate a random number, in line with the Bernoulli distribution.* GenBinomialRnd: generate a random number, in line with binomial distribution.* GenPoissonRnd: generate a random number, in line with Poisson distribution.* GenExponentRnd: generate a random number, in line with exponential distribution.* GenGaussRnd: generate a random number, in line with Gaussian distribution.* / Platform: |
Size: 1024 |
Author:lo |
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Description: 用解析变换法产生指数分布的随机数 是课程设计的小例子-Analysis of transformation with an exponential distribution random number Platform: |
Size: 3072 |
Author:小于儿 |
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Description: 用粒子滤波产生各种分布的随机数，包括指数分布、高斯分布、二项分布，用MATLAB实现的-Particle filter with a variety of random number generation, including the exponential distribution, Gaussian distribution, binomial distribution, with a MATLAB implementation Platform: |
Size: 4096 |
Author:张航 |
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Description: 利用函式做種子變數,用種子跑數值,計算其座落區間,最後利用matlab畫出exponential distribution-Function for seed variables, run with seed value, to calculate the located range, the last use of matlab to draw the exponential distribution. Platform: |
Size: 1024 |
Author:莫瑜伶 |
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Description: 1.duishuzhengtai：产生对数正态分布
2.gaussian：产生数据量为n的两个相互独立高斯分布y1、y2
3.junyun：自定义 0-1的均匀分布，n代表数据量，一般要大于1024（蒙特卡罗）
4.ruili：瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024
5.kaifeng：产生开丰分布，其中m代表开丰分布的自由度，n表示产生的点数量
6.tfenbu：本函数产生自由度为m，数据量为n的t分布。
7.weibuer：a=1时,是指数分布；a=2时,是瑞利分布-1.duishuzhengtai: generating lognormal 2.gaussian: generating a data quantity n of two mutually independent Gaussian distribution Y1, Y2 3.junyun: custom uniform distribution of 0-1, n represents a data amount, generally large in 1024 (Monte Carlo) 4.ruili: Rayleigh distribution, m is a parameter of the Rayleigh distribution, n representative of the amount of data, n is generally greater than 1024 5.kaifeng: generating open abundance distribution, wherein m represents an open-abundance distribution freedom of degrees of freedom, n is the number of points generated 6.tfenbu: This function generates m, the amount of data for n t distribution. 7.weibuer: a = 1, the exponential distribution a = 2, is a Rayleigh distribution Platform: |
Size: 3072 |
Author:中士 |
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Description: Matlab中如何检验数据是否符合某种分布，例如:正态分布、γ分布、泊松分布、指数分布、rayleigh分布。-Matlab how to verify the data meets certain distribution, for example: the normal distribution, the γ distribution Poisson distribution, exponential distribution, rayleigh distribution. Platform: |
Size: 1024 |
Author:中士 |
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Description: 排隊理論
產生exponential分布的 inter-arrival time，Mean 0.25, 0.5, 1, 2
1.統計並劃出Cumulative distribution曲線與其理論曲線
2.時間單位各為1、2、…20單位，分別統計各時間單位之arrival的個數，並劃出Pn(t) v.s t 與其理論值，n取0、1、2、3、4、5，λ取0.5。-Queuing theory produce exponential distribution of inter-arrival time, Mean 0.25, 0.5, 1, 2 1. Cumulative distribution statistics and draw the curve with its theoretical curve 2. Each unit of time is 1, 2, ... 20 units, respectively, each time statistics the arrival of the number of units, and draw Pn (t) vs t and its theoretical value, n take 0,1,2,3,4,5, λ is 0.5. Platform: |
Size: 265216 |
Author:張瑀征 |
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