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/252197/12293931
m variance.m
function v=variance(funfcn,a,b,tol,p1,p2,p3) %#ok - evals used
%VARIANCE Finds the variance of a random variable
% with probability density function 'funfcn' and
% support [a,b].
% Y=
www.eeworm.com/read/252197/12294126
m bdt_f529.m
% MATLAB script that generates the probability of error versus the signal to noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % Tolerance used for the integration
min
www.eeworm.com/read/218391/14922938
m pr3_28.m
%Problem 3.28
%Demonstration low detection probability of spread spectrum signals in
%comparison with plain ones;
clear all; close all;
t=[0:0.001:3]; N=length(t); %time scale;
WD=[0,50]; %two
www.eeworm.com/read/216268/15021382
m pr3_28.m
%Problem 3.28
%Demonstration low detection probability of spread spectrum signals in
%comparison with plain ones;
clear all; close all;
t=[0:0.001:3]; N=length(t); %time scale;
WD=[0,50]; %two
www.eeworm.com/read/216268/15021391
asv pr3_28.asv
%Problem 3.28
%Demonstration low detection probability of spread spectrum signals in
%comparison with plain ones;
clear all; close all;
t=[0:0.001:3]; N=length(t); %time scale;
WD=[0,50]; %two
www.eeworm.com/read/216045/15028732
m variance.m
function v=variance(funfcn,a,b,tol,p1,p2,p3) %#ok - evals used
%VARIANCE Finds the variance of a random variable
% with probability density function 'funfcn' and
% support [a,b].
% Y=
www.eeworm.com/read/216045/15028882
m bdt_f529.m
% MATLAB script that generates the probability of error versus the signal to noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % Tolerance used for the integration
min
www.eeworm.com/read/213940/15121862
m bdt_f541.m
% MATLAB script that generates the probability of error versus the signal to noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % Tolerance used for the integration
min
www.eeworm.com/read/213492/15133834
m dsamp.m
function X = dsamp(Px,num_data)
% DSAMP Generates samples from discrete distribution.
%
% Synopsis:
% X = dsamp(Px,num_data)
%
% Input:
% Px [dim x 1] Discrete probability distribution; it must
%
www.eeworm.com/read/213240/15139982
m mpm_dd.m
%MPM_DD Minimax prob. machine.
%
% W = MPM_DD(X,FRACREJ,SIGMA,LAMBDA)
%
% Computes the minimax probability machine of Lanckriet, using the RBF
% kernel with kernel-width SIGMA and quantile FRACRE