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/138798/13212096
m histp.m
function h = histp(x, xmin, xmax, nbins)
%HISTP Histogram estimate of 1-dimensional probability distribution.
%
% Description
%
% HISTP(X, XMIN, XMAX, NBINS) takes a column vector X of data valu
www.eeworm.com/read/136697/13365392
m frpos2pro.m
function l = frPos2Pro(lvec)
% l = frPos2Pro(lvec)
%
% From Possibility to Probability conversion using a bijective transformation.
% Reference:
% Dubois and Prade: 'Unfair coins and neccessity measu
www.eeworm.com/read/136697/13365445
m frpro2nes.m
function l = frPro2Nes(lvec)
% l = frPro2Nes(lvec)
%
% From Probability to Necessity conversion using a bijective transformation.
% Reference:
% Dubois and Prade: 'Unfair coins and neccessity measure
www.eeworm.com/read/136697/13365497
m frpro2pos.m
function l = frPro2Pos(lvec)
% l = frPro2Pos(lvec)
%
% From Probability to Possibility conversion using a bijective transformation.
% Reference:
% Dubois and Prade: 'Unfair coins and neccessity measu
www.eeworm.com/read/321050/13412912
m bdt_f531.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio.
initial_snr=0;
final_snr=12;
snr_step=0.75;
tolerance=eps; % tolerance used for the integration
www.eeworm.com/read/313963/13577798
m bdt_f531.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio.
initial_snr=0;
final_snr=12;
snr_step=0.75;
tolerance=eps; % tolerance used for the integration
www.eeworm.com/read/306478/13744684
m bdt_f531.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio.
initial_snr=0;
final_snr=12;
snr_step=0.75;
tolerance=eps; % tolerance used for the integration
www.eeworm.com/read/305575/13765632
m simplepdf.m
function[f]=simplepdf(x,mu,sig,flag,alpha)
%SIMPLEPDF Gaussian, uniform, and Cauchy probability density functions.
%
% F=SIMPLEPDF(X,MU,SIG,'gaussian') computes a Gaussian pdf with mean
% MU and s
www.eeworm.com/read/303558/13812636
m bdt_f531.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio.
initial_snr=0;
final_snr=12;
snr_step=0.75;
tolerance=eps; % tolerance used for the integration
www.eeworm.com/read/493294/6399995
m dd_normc.m
%DD_NORMC Normalize the output of a oc-classifier
%
% B = DD_NORMC(A)
% B = A*W*DD_NORMC
% W = DD_NORMC
%
% Normalize the mapped dataset A to standard 'posterior probability'
% est