代码搜索：概率分析
找到约 10,000 项符合「概率分析」的源代码
代码结果 10,000
www.eeworm.com/read/189039/8495560
m detection.m
function [ Output ] = Detection( Input,snr,ITERATION_SoIC )
% MIMO Detection
%
warning off all
TX = 2;
M = 16;% 16QAM
% 初始符号概率
% Yita = [0.0625 0.0625 0.0625 0.0625 0.0625 0.0625 0.0625 0.0625 0.0
www.eeworm.com/read/296454/8102343
m parzen.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Parzen窗函数概率密度估计演示程序1.00 %%%
%%% 国防科技大学四院五队顾巍 %%%
%%% 完全按照《现代模式识别》孙即祥
www.eeworm.com/read/329798/12932223
m mymutation.m
%变异操作，单点变异，变异概率为0.1
%mymutation.m
for i=1:nind
for j=1:2*bits
if rand
www.eeworm.com/read/252073/12304378
c shannon.c
#include "stdio.h"
#include "math.h"
main()
{
int i,t;
float buff,ka,R,Hx;
float p[ ]={0,0.2,0.19,0.18,0.17,0.15,0.10,0.01}; /*符号概率*/
float ps[10];
www.eeworm.com/read/386257/8759111
m ex1103.m
%ex1103.m 分别计算二维离散分布的均值
clear all
X=[0,1,2];
Y=[1,2,3,4];
Px=[0.1,0.7,0.2]; %X各点对应的概率
Py=[0.1,0.4,0.2,0.3]; %Y各点对应概率
mX=sum(X.*Px) %E(X) sum为求和函数。
mY=sum(Y.*Py)
z=X+3;
mX3=sum(z.*Px) %E(X+3)
www.eeworm.com/read/365163/9876488
m parzen.m
function p=Parzen(xi,x,h1,f)
%xi为样本，x为概率密度函数的自变量的取值，
%h1为样本数为1时的窗宽，f为窗函数
%返回x对应的概率密度函数值
if isempty(f) %若没有指定窗的类型，就使用正态窗函数句柄
f=@(u)(1/sqrt(2*pi))*exp(-0.5*u.^2);
end;
N=size(xi
www.eeworm.com/read/421565/10729173
m parzen.m
function p=Parzen(xi,x,h1,f)
%xi为样本，x为概率密度函数的自变量的取值，
%h1为样本数为1时的窗宽，f为窗函数句柄
%返回x对应的概率密度函数值
if isempty(f)
%若没有指定窗的类型，就使用正态窗函数
f=@(u)(1/sqrt(2*pi))*exp(-0.5*u.^2);
end;
N=size(xi,2);