搜索资源列表
genmix
- GUI FOR GENERATING MULTIVARIATE RANDOM VARIABLES FROM MIXTURE的matlab实现-GUI FOR GENERATING MULTIVARIATE RANDOM VA RIABLES FROM MIXTURE achieve the Matlab
dcdflib.c.tar
- unix环境下计算符合常用概率分布的随机变量的集合-unix environment commonly used terms with the probability distribution of random variables pool
guassdisti
- 对模糊变量进行随机化，并用高斯分布进行概率求解，无密码-pair of fuzzy random variables, and using Gaussian probability distribution solution without passwords
randomnumber
- 关于产生均匀分布和标准正态分布的随机变量的VC程序-on the production and distribution of uniform standard normal distribution of random variables VC Program
junyunfenbu.txt
- 由均匀分布的随机变量生成正态分布的随机变量的算法。-by uniform distribution of random variables generate normal random variable algorithm.
gaussian_noise
- 产生两个均值为m,方差为sgma的高斯随机变量，当输入参数只有一个时，认为均值为0。-mean to have two m, sgma variance for the Gaussian random variables, when only one input parameters, that the mean of 0.
pm_estimate
- 利用周期图法对序列的功率谱进行估计。数据窗采用汉明窗。假设在白噪声中分辨这三个不同频率的正弦信号,其相位是均匀分布在2PI的独立随机变量,而 是一个单位白噪声.生成50个长度为N=512的 的样本序列集合。 -use map cycle sequencing method of the power spectrum estimation. Data window using Hamming window. Assume that the white noise to differentiat
Reversible_Jump_MCMC_Bayesian_Model_Selection
- This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation paramete
PLSUVECV.rar
- PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability
flow_chart
- Matlab单队列多服务台仿真总流程图 本系统仿真程序采用事件步长法进行仿真，由以下功能模块组成： 1、仿真时钟； 2、事件表； 3、系统状态变量； 4、初始化子程序； 5、事件子程序； 6、调度子程序； 7、时钟推进子程序； 8、随机数产生子程序； 9、输出函数子程序； 10、统计计数器； 11、主程序。-Matlab simulation of the total single-queue multi-desk syst
exp1
- 基于matlab估计随机变量的统计特性 随机信号处理的课程实验-Matlab estimated based on the statistical characteristics of random variables Random signal processing course experiment
generation_gaussian_randomvariables
- 高斯分布的随机数序列 用十二求和法和BoxMuller方法得到-generation of gaussian random variables sum-of-12 method Box-muller Method
center
- 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
randomgen.m
- A function that takes two random variables and computes their expectation value and variance.
Compound_Poisson_Bench
- poisson 求解 Benchmarks several different ways of generating Compound Poisson random variables by Monte Carlo simulation.-compound poisson Benchmarks several different ways of generating Compound Poisson random variables by Monte Carlo simulation.
Markov
- 简单的马尔科夫算法，Markov链数据提供了有当前状态决定，而又独立于当前状态的序列，此处算法是将给定的文本串生成新的随机文本- Simple Sample of a Markov Chain Algorithm：A markov chain is a sequence of random variables in which the future variable is determined by the present variable but is independent of the w
filter1
- 高通滤波器，带通滤波器，数字FIR滤波器-The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory
lisansuijibianliang
- 计算各种离散随机变量的分布函数，包括多种离散随机书-Calculate a variety of discrete random variables, distribution functions, including a variety of discrete random book
probability
- 《概率论》是在多年的教学实践基础上逐步形成并汇编成册的，内容包括：初等概率论，随机变量，数字特征与特征函数，极限定理等。 -‘Probability theory’ is based on many years of teaching practice gradually developed and compiled into a book, and include: elementary probability theory, random variables, numbers, chara
Application-Case-Generation-of-Random-Variables.z
- APPLICATION CASES OF RANDOM VARIABLES SIMULATIONS - Application Case: Generation of Random Variables as a Function of the Number of Simulations This application consists of writing a program to generate two Gaussian random variables (X1, X