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/243742/12920302

m c8_normal_01.m

function [ z, seed ] = c8_normal_01 ( seed ) %% C8_NORMAL_01 returns a unit pseudonormal C8. % % Discussion: % % The value has mean 0 and standard deviation 1. % % Modified: % % 17 July 2006
www.eeworm.com/read/482049/6625743

m calclocalizationcrb.m

%function [stdevs, bound, F, avgNeighb] = calcLocalizationCRB( x, y, blinds, total, channelParam, measMade, d_thr) % 这是一外国佬写的计算定位CRLB的程序 %OUTPUTS: % stdevs: Bounds for the standard deviation of
www.eeworm.com/read/344562/11872351

m demo.m

% TEST the functions in the toolbox. % ---- Simulation parameter n = 5; m = 2; p = 3; l = ceil(n/p); lmax = l; nmax = n; delta = nmax+1; s = 0; % additive noise standard deviation T = 500; % t
www.eeworm.com/read/232339/14197603

m rri_multiblock_perm.m

%RRI_MULTIBLOCK_PERM Apply Behavioral or Task PLS test and permutation test % on RRI scan. % % See also PLS_PERM_TEST, PLS_DEVIATION_PERM_TEST, BEHAVPLS_PERM, TASKPLS_PERM % % I (ismean) -
www.eeworm.com/read/217421/14965145

cpp randomn.cpp

#ifndef __RANDNUM_H99_4_5_22080409 #define __RANDNUM_H99_4_5_22080409 #ifdef __cplusplus extern "C" { #endif /* __cplusplus */ float rand1(void); /* Uniform deviation within [0, 1] */ float
www.eeworm.com/read/212723/15150761

m basicrm_sa.m

% J. C. Spall, March 1999 % This code evaluates the basic root-finding (R-M) SA algorithm. Computes sample mean % and standard deviation of the mean from Navg realizations. % n=1000; randn('see
www.eeworm.com/read/491360/1191743

m main.m

% Program 2-3 % main.m % % calculate mean, dispersion and standard deviation for the vector data % % Programmed by H.Harada % data=rand(1,20); mvalue2=mvalue(data); [sigma2, sigma]= disper(
www.eeworm.com/read/173155/5376335

m main.m

% Program 2-3 % main.m % % calculate mean, dispersion and standard deviation for the vector data % % Programmed by H.Harada % data=rand(1,20); mvalue2=mvalue(data); [sigma2, sigma]= disper(
www.eeworm.com/read/338290/3318989

java correlationcoefficientfitness.java

package gep.num; /** * 使用复相关系数的适应度函数 */ public class CorrelationCoefficientFitness extends GeneralNFitness { private static double MIN_FITNESS = -100; private double deviation; // 目标数据的偏差
www.eeworm.com/read/270429/4238294

m main.m

% Program 2-3 % main.m % % calculate mean, dispersion and standard deviation for the vector data % % Programmed by H.Harada % data=rand(1,20); mvalue2=mvalue(data); [sigma2, sigma]= disper(