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/150905/12250418
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 values
%
www.eeworm.com/read/252197/12294094
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/223481/14639262
m simulateoutage.m
function sim_state = SimulateOutage( sim_param, sim_state, code_param )
% OutageSimulate runs a single information outage probability simulation.
%
% The calling syntax is:
% sim_state = Simul
www.eeworm.com/read/220289/14843789
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 values
%
www.eeworm.com/read/216045/15028859
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/213940/15121869
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/213240/15139993
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
www.eeworm.com/read/212307/15160096
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 values
%
www.eeworm.com/read/210157/15205820
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/13871/284572
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