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/424063/10504201
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/278321/10547573
c abx.c
/*
* Usage: abx original_file test_file
*
* Ask you as long as the probability is below the given percentage that
* you recognize differences
*
* Example: abx music.wav music.mp3
*
www.eeworm.com/read/423536/10553352
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/270992/11013596
m idiots2.m
%idiots2.m/created by PJNahin for "Duelling Idiots"(7/6/98)
%This m-file evaluates the theoretical probability that idiot A
%wins the duel with idiot B, using the revised duelling rules
%described
www.eeworm.com/read/467764/7000820
m pd_swerling4.m
function pd = pd_swerling4 (nfa, np, snrbar)
% This function is used to calculate the probability of detection
% for Swerling 4 targets.
format long
snrbar = 10.0^(snrbar/10.);
eps = 0.00000001;
www.eeworm.com/read/467764/7000865
m pd_swerling2.m
function pd = pd_swerling2 (nfa, np, snrbar)
% This function is used to calculate the probability of detection
% for Swerling 2 targets.
format long
snrbar = 10.0^(snrbar/10.);
eps = 0.00000001;
www.eeworm.com/read/467764/7000893
m pd_swerling1.m
function pd = pd_swerling1 (nfa, np, snrbar)
% This function is used to calculate the probability of detection
% for Swerling 1 targets.
format long
snrbar = 10.0^(snrbar/10.);
eps = 0.00000001;
www.eeworm.com/read/467764/7000903
m pd_swerling3.m
function pd = pd_swerling3 (nfa, np, snrbar)
% This function is used to calculate the probability of detection
% for Swerling 2 targets.
format long
snrbar = 10.0^(snrbar/10.);
eps = 0.00000001;
www.eeworm.com/read/467324/7009880
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/322305/7072508
m hyppdf.m
function y=hyppdf(x,alpha,beta,delta,mu);
%HYPPDF Hyperbolic probability density function (pdf).
% Y=HYPPDF(X,ALPHA,BETA,DELTA,MU) returns the pdf of the hyperbolic
% distribution with shape p