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/439811/7701406
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(1
www.eeworm.com/read/439811/7701506
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
www.eeworm.com/read/439811/7701518
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector p.
if length(find(p
www.eeworm.com/read/436995/7757338
m chi2_dof.m
% chi2_dof.m
% Scope: This MATLAB macro computes the probability density function of the
% chi-square distribution with dof degrees of freedom.
% Usage:
www.eeworm.com/read/199440/7853255
m hmmsim.m
function [simdata] = hmmsim (hmm,N)
% [simdata] = hmmsim (hmm,N)
%
% simulates the output of an HMM with gaussian observation model
% and HMM parameters
% hmm.Pi = prior probability
% hmm.P = st
www.eeworm.com/read/199440/7853262
m fhmmsim.m
function [simdata] = fhmmsim (fhmm,N)
% [simdata] = fhmmsim (fhmm,N)
%
% simulates the output of an FHMM with gaussian observation model
% and FHMM parameters
% fhmm.Pi = prior probability
% fhmm
www.eeworm.com/read/433883/7904946
m imperialisticcompetition.m
function Empires=ImperialisticCompetition(Empires)
if rand > .11
return
end
if numel(Empires)
www.eeworm.com/read/433822/7907680
m ga3d.m
function [x,y,fx,vx,vmfit,P] = ga3d(v,ger,pc,pm);
%
% Ph.D. Thesis
% Leandro Nunes de Castro
% November, 1999.
% ENHANCED GENETIC ALGORITHM - Bi-classist Selection
%
% Secondary functions: DECODE &
www.eeworm.com/read/433808/7908132
m itergs_sp.m
function [gamnew, probnew, QqrN, RqrN, swit]= ...
itergs_sp(gamprec,probprec,X,Ytilde,QqrP,RqrP,k,delta,w,v1);
%itergs_sp: Gibbs Sampler - Selection prior - Single iteration
%************************