代码搜索:deviation

找到约 1,443 项符合「deviation」的源代码

代码结果 1,443
www.eeworm.com/read/142031/12969806

m surethresh2.m

function [x,thresh] = SUREThresh2(y) % %%%%%%It's My Own Function!!! % % SUREThresh2 -- Adaptive Threshold Selection Using Principle of SURE for 2-D Signal % Usage % thresh = SUREThresh2(y)
www.eeworm.com/read/241192/13164237

m demo2_03.m

% % "Type 2 Tracker" for random walk process with mean velocity % clear all; close all; N = 100; % Number of samples of process used in simulations R = .16; % Variance of sampling no
www.eeworm.com/read/321050/13412694

m gwnoise.m

function [m, d, s] = gwnoise(m, d, s) %GWNOISE generate valid mean value, standard deviation and seeds for GWNOISE block. % [M, D, S] = GWNOISE(M, D, S) checks input mean M, standard deviation D, an
www.eeworm.com/read/318840/13471252

m demo2_03.m

% % "Type 2 Tracker" for random walk process with mean velocity % clear all; close all; N = 100; % Number of samples of process used in simulations R = .16; % Variance of sampling no
www.eeworm.com/read/314385/13568710

m demo2_03.m

% % "Type 2 Tracker" for random walk process with mean velocity % clear all; close all; N = 100; % Number of samples of process used in simulations R = .16; % Variance of sampling no
www.eeworm.com/read/313963/13577580

m gwnoise.m

function [m, d, s] = gwnoise(m, d, s) %GWNOISE generate valid mean value, standard deviation and seeds for GWNOISE block. % [M, D, S] = GWNOISE(M, D, S) checks input mean M, standard deviation D, an
www.eeworm.com/read/312163/13617317

m gencircledata.m

function [X,gnd_X] = gencircledata(Center,R,num_data,dev) % GENCIRCLEDATA Generates data on circle corrupted by Gaussian noise. % % Synopsis: % [X,gnd_X] = gencircledata(Center,R,num_data,dev)
www.eeworm.com/read/306480/13744463

m gwnoise.m

function [m, d, s] = gwnoise(m, d, s) %GWNOISE generate valid mean value, standard deviation and seeds for GWNOISE block. % [M, D, S] = GWNOISE(M, D, S) checks input mean M, standard deviation D, an
www.eeworm.com/read/305754/13761271

m surethresh2.m

function [x,thresh] = SUREThresh2(y) % %%%%%%It's My Own Function!!! % % SUREThresh2 -- Adaptive Threshold Selection Using Principle of SURE for 2-D Signal % Usage % thresh = SUREThresh2(y)
www.eeworm.com/read/138963/5811906

m gwnoise.m

function [m, d, s] = gwnoise(m, d, s) %GWNOISE generate valid mean value, standard deviation and seeds for GWNOISE block. % [M, D, S] = GWNOISE(M, D, S) checks input mean M, standard deviation D, an