搜索资源列表
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
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
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
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.
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
PDF
- This file simulates Probability Density Function of Gaussian random Variables with suitable plots.
PDF_rayleigh
- This file simulates Probability Density function of Rayleigh generated Random variables and comparision plots with Theory & simulation.
HW_5
- Generation of Binomial random variables from uniform random variable
kalmanintroduction
- In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory,
gngauss
- 高斯噪声随机变量发生器，这些随机变量有一个零均值，方差D。-Gaussian random variable generator，These random variables have a zero mean and variance D.
satish
- Avetis Ioannisyan avetis@60ateight.com Last Updated: 11/30/05 LMS Channel Adaptation reset randomizers randn( state ,sum(100*clock)) rand( state ,sum(100*clock)) numPoints = 5000 numTaps = 10 channel order Mu = 0
Compound_Poisson_BenchASAA
- benchmarks several versions of code for generating Compound Poisson random variables
CompBnch
- benchmarks several versions of code for generating Compound Poisson random variables
subSuperGaussPlot
- Gaussian Laplace and GGD Random Variables Generators
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