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C Generate a pseudorandom, gaussian distributed number with mean 0 and standard deviation 1.
C The random number is generated with ran1.
C param idum An integer argument passed to ran1
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Generate Possion Dis.
step1:Generate a random number between [0,1]
step2:Let u=F(x)=1-[(1/e)x]
step3:Slove x=1/F(u)
step4:Repeat Step1~Step3 by using different u,you can get x1,x2,x3,...,xn
step5:If the first packet was generated at time [
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On the Hardware Implementation of the
MUGI Pseudorandom Number Generator
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This is noise generator with given statistical and spectral characteristics based on pseudorandom number generator which realises Merssenne Twister algorithm
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Hamming codes are a class of binary linear codes. They can detect up to two simultaneous bit errors, and correct single-bit errors. In particular, a single-error-correcting and double error detecting variant commonly referred to SECDED.-a) Develop a
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将自定义的整数随机数生成器编写为一个类，该类使用一个公式从上一个随机数的到下一个伪随机数。随机数程序以某个“启动源（seed）”值开始。其后，通过对当前随机数执行某个运算得到下一个随机数，运算使当前随机数变成另一个（明显随机的）数。适用于整数的公式为：nextR=((oldR*25173)+13849) 65536；
它产生0~65536之间的数。为了得到看起来随机的好结果，该公式中几个特定的数已经给出。-The custom integer random number generators
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此程式是利用DES 來進行加密與解密的動作，Mode 採用ECB，Padding 方
法則採用PKCS5Padding。Key 是由程式自行產生，採用Pseudorandom number
generator 來產生Key。利用Framework 為Java Cryptography Extension (JCE) 。-This program is the use of DES to encrypt and decrypt action, Mode ECB Padding method
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the LFSR is coded in VHDL, using a structural descr iption, which is instantiated as a
separate component in the top-level design. Then we can get a random number by a pseudorandom number generator based on a linear feedback
shift register (LFS
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A pseudorandom number generator (PRNG), also known as a deterministic random bit generator (DRBG),[1] is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. The PRNG-generated
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根据学习过的离散事件系统仿真的基本概念，进一步了解离散事件系统中伪随机数生成的基本方法-According to the study of the basic concept of discrete event system simulation, a deeper understanding of the basic methods of discrete event systems generate pseudorandom number
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在实际应用中往往使用伪随机数就足够了。这些数列是“似乎”随机的数，实际上它们是通过一个固定的、可以重复的计算方法产生的。计算机或计算器产生的随机数有很长的周期性。它们不真正地随机，因为它们实际上是可以计算出来的，但是它们具有类似于随机数的统计特征。这样的发生器叫做伪随机数发生器。
在真正关键性的应用中，比如在密码学中，人们一般使用真正的随机数。-In actual applications tend to use a pseudorandom number is sufficient. Th
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NIST标准的随机数检测工具；支持单比特频数检测、块内频数检测、扑克检测、重叠子序列检测、游程总数检测、游程分布检测等(A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications)
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说明： NIST标准的随机数检测工具；支持单比特频数检测、块内频数检测、扑克检测、重叠子序列检测、游程总数检测、游程分布检测等源代码(A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications source code)
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MATLAB，随机数伪随机数生成概念，蒲丰投针实验原理(The concept of generation of random number pseudorandom number)
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用VC++6实现的一个伪随机数生成演示程序源码,包含了正态分布随机数生成和平均分布随机数两种生成方式,(Using VC 6 to realize a pseudorandom number generation demonstration program source code, including normal distribution random number generation and average distribution random number generation met
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