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/389028/2544934
pl testfrp_tcp.pl
#!/usr/bin/perl -w
use strict 'refs';
use strict 'subs';
if ($#ARGV != 2) {
&usage;
exit;
}
sub usage {
print STDERR " usage: $0 \n";
exit;
}
my $targetRTT =
www.eeworm.com/read/380709/2652935
tcl bound.tcl
# return number of drops necessary for probability prob given c and p
proc drop_bound {prob c p type} {
# equation not defined in these cases
if {$p = 1} {
return 0
}
if {$c <
www.eeworm.com/read/373026/2767618
m montecarlo.m
function prob = montecarlo(A,b,Sigma,notrials);
% estimates probability than random vector x in R2
% with mean zero and covariance Sigma satisfies Ax
www.eeworm.com/read/476078/6773386
m bdt_f533.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/173932/9629691
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/173932/9629696
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/173932/9629700
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/173932/9629703
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/414455/11111547
m bdt_f533.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/335805/12497572
m bdt_f533.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