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/456354/7351317
m smldpe58.m
function [p]=smldPe58(snr_in_dB)
% [p]=smldPe58(snr_in_dB)
% SMLDPE58 simulates the probability of error for the given
% snr_in_dB, signal to noise ratio in dB.
d=1;
SNR=exp(snr_in_dB*log(10)/10
www.eeworm.com/read/456354/7351361
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p1
www.eeworm.com/read/456354/7351403
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p1
www.eeworm.com/read/456354/7351426
m cm_sm41.m
function [p]=cm_sm41(snr_in_dB)
% [p]=cm_sm41(snr_in_dB)
% CM_SM41 finds the probability of error for the given
% value of snr_in_dB, SNR in dB.
N=10000;
d=1; % min. distance between symbo
www.eeworm.com/read/455746/7366438
m pgev.m
function c=pgev(q,xi,mu,sigma),
%CDF for GEV
%
% USAGE: c = pgpd(q,xi,mu,beta)
%
% q: Quantile
%xi,mu,beta: Parameters
% c: Cumulative probability
c=exp(-(1+(xi*(q-mu))/sig
www.eeworm.com/read/455746/7366458
m pgpd.m
function c = pgpd(q,xi,mu,beta),
%CDF for GPD
%
% USAGE: c = pgpd(q,xi,mu,beta)
%
% q: Quantile
%xi,mu,beta: Parameters
% c: Cumulative probability
c=(1 - (1 + (xi * (q - m
www.eeworm.com/read/455746/7366459
m qgpd.m
function c=qgpd(q,xi,mu,beta),
%Inverse CDF for GPD
%
% USAGE: c=qgpd(p,xi,mu,beta)
%
% p: Cumulative probability
%xi, mu, beta : Parameters
% c: Quantile
if narg
www.eeworm.com/read/455746/7366472
m qgev.m
function c=qgev(p,xi,mu,sigma)
%Inverse CDF for GEV
%
% USAGE: c=qgpd(p,xi,mu,beta)
%
% p: Cumulative probability
%xi, mu, beta : Parameters
% c: Quantile
c=mu
www.eeworm.com/read/453431/7420845
m fig7_3.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Figure 7.3
% K. Bell 1/22/04
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear all
close all
N = 10;
d = 0.5;
K = [1;2;6;10;15]*N;
nk = length(K);
rho = [0:0.01:1]
www.eeworm.com/read/453400/7421745
sas func8.sas
options nodate nonumber;
title 'Probability functions';
data func8;
input p n m1 m2;
p1=probbnml(p,n,m1);
p2=1-probbnml(p,n,m2);
cards;
0.2 10 1 7
;
proc print;
run;