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/476296/6765188

m lms5.m

%LMS5 Problem 2.1 % % 'ifile.mat' - input file containing: % K - iterations % H - FIR channel % Neq - equalizer order % sigman - standard deviation of noise at channel ou
www.eeworm.com/read/194440/8194390

m autoreject.m

function [cvpi,cvpj]=autoreject(cvpi,cvpj,nshots,dev,standard) % Function used to reject some of the cross over point based on the standard % deviation or a constant difference from the cross over po
www.eeworm.com/read/248541/12554095

f dstn1.f

function dstn1(rn1,rn2) !! ~ ~ ~ PURPOSE ~ ~ ~ !! this function computes the distance from the mean of a normal !! distribution with mean = 0 and standard deviation = 1, given two
www.eeworm.com/read/235612/14061148

m autoreject.m

function [cvpi,cvpj]=autoreject(cvpi,cvpj,nshots,dev,standard) % Function used to reject some of the cross over point based on the standard % deviation or a constant difference from the cross over po
www.eeworm.com/read/202785/15373417

m da_lsqs.m

% % da_lsqs % % Least squares regression entry point % % % Clear the screen % da_front; drawnow; % % Make sure that none of the variables have a zero % standard deviation % s=std(dat
www.eeworm.com/read/367675/2832876

txt 29.txt

发信人: watererxu (Agent), 信区: DataMining 标 题: Re: 概率论中的stand deviation怎么翻? 发信站: 南京大学小百合站 (Sat Jul 13 14:33:08 2002) 均方差,也可以说是标准偏差。 【 在 GzLi 的大作中提到: 】 : standard deviation : 是不是标准偏差 : 【 在 m
www.eeworm.com/read/367675/2836970

txt 312.txt

发信人: watererxu (Agent), 信区: DataMining 标 题: Re: 概率论中的stand deviation怎么翻? 发信站: 南京大学小百合站 (Sat Jul 13 14:33:08 2002) 均方差,也可以说是标准偏差。 【 在 GzLi 的大作中提到: 】 : standard deviation : 是不是标准偏差 : 【 在 m
www.eeworm.com/read/186721/8914197

txt programs.txt

Programs from: "The Scientist and Engineer's Guide to Digital Signal Processing. TABLE 2-1 100 CALCULATION OF THE MEAN AND STANDARD DEVIATION 110 ' 120 DIM X[511] 'The signal is h
www.eeworm.com/read/349848/10796059

m colorednoise.m

function n = ColoredNoise(sd,Len,fs,beta); % % N = ColoredNoise(SD,Len,fs,beta), % Colored noise generation by frequency domain filtering of white noise. % % inputs: % sd: the standard deviation of
www.eeworm.com/read/453715/7413911

m normpdf.m

function y = normpdf(x,mu,sigma) %NORMPDF Normal probability density function (pdf). % Y = NORMPDF(X,MU,SIGMA) returns the pdf of the normal distribution with % mean MU and standard deviation S