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/453400/7421797
sas func6.sas
options nodate nonumber;
title 'Probability functions';
data func6;
input x1-x3;
probnorm=probnorm(x1);probchi1=probchi(x3,x2);
probgam1=probgam(x2,x3);probbeta=probbeta(x1,x2,x3);
probf
www.eeworm.com/read/453400/7421803
sas func7.sas
options nodate nonumber;
title 'Probability functions';
data func7;
input p n m1 m2;
p1=probbnml(p,n,m2)-probbnml(p,n,m1);
cards;
0.8 3 1 2
;
proc print;
run;
data func8;
input p n m1
www.eeworm.com/read/449807/7496309
m fhstart.m
%Hufman coding algorithm
% Total program is divided into three modules
% (1) Histogram building & Probability calculation (fhstart.m)
% (2) Huffman Tree drawing phase(fhtree1.m)
% (3) Huffman Co
www.eeworm.com/read/449504/7502025
m bino_pdf.m
function pdf = bino_pdf(k,n,p)
% PURPOSE: pdf at x of the binomial(n,p) distribution
%---------------------------------------------------
% USAGE: pdf = bino_pdf(x,n,p)
% where: p = the probabili
www.eeworm.com/read/449504/7502624
m shapirowilks.m
function [statistic, pval, H] = shapirowilks(x,tails,probability)
% PURPOSE:
% This function performs that Shapiro-Wilks Test for normality of the data
% This is an omnibus test, and is general
www.eeworm.com/read/448535/7531218
m plotbpsk.m
% Plot the probability of error for BPSK
% Copyright 1999 by Todd K. Moon
P = [];
snrlist = 0:.5:10;
for snr=snrlist
EbN0 = 10^(snr/10);
P = [P;qf(sqrt(2*EbN0))];
end
subplot(2,2,1);
s
www.eeworm.com/read/448535/7531307
m hmmf.m
function p = hmmf(y,f,s)
%
% Determine the likelihood of the output y for the model HMM
% This function acts as a clearinghouse for different probability types
%
% function p = hmmf(y,f,s)
%
%
www.eeworm.com/read/448535/7531335
m hmmapiupn.m
function [A,pi] = hmmApiupn(y,alphahat,betahat,f,HMM)
%
% update the HMM probabilities A and pi using the normalized forward and
% backward probabilities alphahat and betahat
%
% function [A,pi]
www.eeworm.com/read/448535/7531449
m hmmapiup.m
function [A,pi] = hmmApiup(y,alpha,beta,f,HMM)
%
% Update the A and pi probabilities in the HMM using the forward and
% backward probabilities alpha and beta
%
% function [A,pi] = hmmapiup(y,alp
www.eeworm.com/read/446765/7565385
m part2a.m
clc;
close all;
clear all;
echo off;
fd=100;
wd=2*pi*fd;
M=8;
N=4*M+2;
Ts=1e-2;
Ns=100;
i=5;
rand('state',sum(100*clock));
s = rand('state');
a= rand(1,M);
thetan=a*(2*pi)-pi;
b=r