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/423536/10553332
m smldpe55.m
function [p]=smldPe55(snr_in_dB)
% [p]=smldPe55(snr_in_dB)
% SMLDPE55 simulates the probability of error for the particular
% value of snr_in_dB, signal to noise ratio in dB.
E=1;
SNR=exp(s
www.eeworm.com/read/423536/10553346
m smldpe58.m
function [p]=smldPe58(snr_in_dB)
% [p]=smldPe58(snr_in_dB)
% SMLDPE58 simulates the error probability for the given
% snr_in_dB, signal to noise ratio in dB.
M=16; % 16-ary PAM
d=1;
www.eeworm.com/read/159601/10635923
m crover.m
function [out1,out2]=crover(in1,in2,pcross)
%
% [out1,out2]=crover(in1,in2,pcross);
%
% Crosses two input members with a probability
% of crossover of pcross (
www.eeworm.com/read/349916/10782787
m crover.m
function [out1,out2]=crover(in1,in2,pcross)
%
% [out1,out2]=crover(in1,in2,pcross);
%
% Crosses two input members with a probability
% of crossover of pcross (
www.eeworm.com/read/349842/10796795
m hmm_evaluation.m
function P = HMM_evaluation(a, b, V)
% Find the probability of a finite state in a Markov chain
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% V -
www.eeworm.com/read/469416/6976369
m mdnprob.m
function [prob,a] = mdnprob(mixparams, t)
%MDNPROB Computes the data probability likelihood for an MDN mixture structure.
%
% Description
% PROB = MDNPROB(MIXPARAMS, T) computes the probability P(
www.eeworm.com/read/467324/7009730
m ip_08_07.m
% MATLAB script for Illustrative Problem 7, Chapter 8.
echo on
ep=0.3;
for i=1:2:61
p(i)=0;
for j=(i+1)/2:i
p(i)=p(i)+prod(1:i)/(prod(1:j)*prod(1:(i-j)))*ep^j*(1-ep)^(i-j);
end
end
www.eeworm.com/read/467324/7009873
m smldpe55.m
function [p]=smldPe55(snr_in_dB)
% [p]=smldPe55(snr_in_dB)
% SMLDPE55 simulates the probability of error for the particular
% value of snr_in_dB, signal to noise ratio in dB.
E=1;
SNR=exp(s
www.eeworm.com/read/467324/7009878
m smldpe58.m
function [p]=smldPe58(snr_in_dB)
% [p]=smldPe58(snr_in_dB)
% SMLDPE58 simulates the error probability for the given
% snr_in_dB, signal to noise ratio in dB.
M=16; % 16-ary PAM
d=1;
www.eeworm.com/read/333209/7154885
m gauss_pdf.m
%GAUSS_PDF Multivariate Gaussian PDF
%
% Syntax:
% [P,E] = GAUSS_PDF(X,M,S)
%
% In:
% X - Dx1 value or N values as DxN matrix
% M - Dx1 mean of distibution or N values as DxN matrix.
%