代码搜索：Probability
找到约 4,670 项符合「Probability」的源代码
代码结果 4,670
www.eeworm.com/read/433717/7912598
m fsqfindpn.m
%fsqfindpn(lambda,mu,c,m,n)
% This function finds the probability there are n machines down
% (in the system) for a machine repair problem (finite source queue).
function out = fsqfindpn(lamb
www.eeworm.com/read/198546/7928701
m kolmogorov.m
function [statistic, pvalue, H]=kolmorgorov(x,size,dist,varargin)
% PURPOSE:
% Performs a Kolmogorov-Smirnov test that the data are from a specified distribution
%
% USAGE:
% [statistic,
www.eeworm.com/read/198545/7929302
m binomp.m
function f = binomp(x,n,p);
%BINOMP BINOMP(X,N,P) is the cumulative distribution function at X of the
% binomial distribution with denominator N and success probability P.
% X, N and P must be scal
www.eeworm.com/read/398571/7936627
java ch6_e6_4.java
public class ch6_e6_4
{
public static void main(String args[])
{
final int NUMBER = 100;
int count = 10;
int randomNum = 0;
int probability[] = new int[6
www.eeworm.com/read/297942/7985025
m prob_snr1.m
% This program is used to produce Fig. 4.3
clear all
for nfa = 2:2:12
b = sqrt(-2.0 * log(10^(-nfa)));
index = 0;
hold on
for snr = 0:.1:18
index = index +1;
a = sqrt(2
www.eeworm.com/read/297846/7992434
m prob_snr1.m
% This program is used to produce Fig. 2.4
close all
clear all
for nfa = 2:2:12
b = sqrt(-2.0 * log(10^(-nfa)));
index = 0;
hold on
for snr = 0:.1:18
index = index +1;
www.eeworm.com/read/197261/8008638
m radiomodel.m
for j=1:20
ModelType='OBS';
%Separation distance Eexpressed in meet
Dn=5;
switch ModelType
% For line-of-sight
case 'LOS'
% Probability of receiving a multipath
for i=1:14
PT
www.eeworm.com/read/197139/8026974
asm arith_encoder_mpeg4.asm
/*******************************************************************************
Copyright(c) 2000 - 2002 Analog Devices. All Rights Reserved.
Developed by Joint Development Software Application Tea
www.eeworm.com/read/196832/8055339
data-structure
The routines use a common data structure 'chmm' with fields:
chmm.P transition probability
.Pi initial state probability
.K dimension of sta
www.eeworm.com/read/397112/8067005
m~ kldivergence.m~
%KLDIVERGENCE redundancy measure for categorical-discrete data
% KL = KLDIVERGENCE(X,Y) returns the redundancy between the two column
% vectors X and Y containing categorical measures.
%
% KLDIV