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/210157/15205813

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/167185/5465563

do_demo

#! /bin/sh # @(#)do_demo 1.7 11/5/91 ERL # This script starts up a specific demo. A crude file locking # technique is used to reduce the probability that more than one # demo is run at the same time
www.eeworm.com/read/315275/3622001

m pd_swerling5.m

function pd = pd_swerling5 (input1, indicator, np, snrbar) % This function is used to calculate the probability of detection % for Swerling 5 or 0 targets for np>1. if(np == 1) 'Stop, np must b
www.eeworm.com/read/299916/3849607

m expected.m

function e=expected(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the expected value of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=EXPECTED('F'
www.eeworm.com/read/299916/3849623

m entropy.m

function h=entropy(p) % H=ENTROPY(P) returns the entropy function of % the probability vector P. if length(find(p
www.eeworm.com/read/436207/1850190

m vmf.m

function pdf = vmf(x, mu, kappa) % VMF Returns the VMF Prob. density at point x % % PDF = VMF(X,MU,KAPPA) % % Computes and returns the von-Mises Fisher probability density at % a given piont X
www.eeworm.com/read/430037/1942761

m pr8_11.m

%Problem 8.11; %optimizing average serial search time; clear all; close all; Pc=0.999; %specify probability of correct search; Ts=[]; Mst={}; s=1; for M=[50,200,1000,10000]; %set search region
www.eeworm.com/read/430037/1942766

m pr8_12.m

%Problem 8.12; %optimizing average serial search time for Rayleigh signal model; clear all; close all; Pc=0.999; %specify probability of correct search; Ts=[]; Mst={}; s=1; for M=[50,200,1000,1
www.eeworm.com/read/430037/1942794

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/476078/6773380

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