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/442447/7651409

m normal.m

function y=normal(x,m,s) % FUNCTION y=NORMAL(x,m,s) % Gaussian distribution % m=mean % s=standard deviation y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/442441/7651700

m normal.m

function y=normal(x,m,s) % FUNCTION y=NORMAL(x,m,s) % Gaussian distribution % m=mean % s=standard deviation y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/440070/7694256

html rms.html

Normalise / compute mean, standard deviation Normalise time series and/or compute mean, standard deviation rm
www.eeworm.com/read/439811/7701515

m normal.m

function y=normal(x,m,s) % FUNCTION y=NORMAL(x,m,s) % Gaussian distribution % m=mean % s=standard deviation y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/439391/7710570

m zaboduixiao3.m

clc; clear; fc=10.7e6;%10.7e6;%载频 fs=0.408e6*2; df1=1000;%多普勒 df2=2000;%多普勒 df3=3000;%多普勒 m=14.5;td=m/fs; %时延6 N=8192*2;%fs; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%白噪声过滤低通波器 作为调制信号 %%%%%
www.eeworm.com/read/437115/7755054

m normal.m

function y=normal(x,m,s) % FUNCTION y=NORMAL(x,m,s) % Gaussian distribution % m=mean % s=standard deviation y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/434208/7882773

html statisticallinechartdemo1.html

StatisticalLineChartDemo1 A line chart that uses a StatisticalCategoryDataset to overlay a standard deviation indicator for each data value.
www.eeworm.com/read/196950/8039100

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/195692/8135189

m gngauss.m

function[gsrv1,gsrv2]=gngauss(m,sgma) % m--mean, sgma--standard deviation if nargin==0, m=0;sgma=1; elseif nargin==1, sgma=m;m=0; end; u=rand; z=sgma*(sqrt(2*log(1/(1-u)))); %a R
www.eeworm.com/read/195692/8135199

m gngauss.m

function[gsrv1,gsrv2]=gngauss(m,sgma) % m--mean, sgma--standard deviation if nargin==0, m=0;sgma=1; elseif nargin==1, sgma=m;m=0; end; u=rand; z=sgma*(sqrt(2*log(1/(1-u)))); %a R