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/312163/13617606

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/306478/13744611

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/306478/13744696

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/305575/13765400

m pdfchain.m

function[fy]=pdfchain(x,fx,g,yi) %PDFCHAIN The "chain rule" for probabilty density functions. % % FY=PDFCHAIN(X,FX,G,Y), where FX is a probability density function % defined over values X, and G
www.eeworm.com/read/303558/13812563

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/303558/13812648

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/493294/6399972

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
www.eeworm.com/read/492400/6422239

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
www.eeworm.com/read/491236/6437848

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/489524/6472648

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