代码搜索：coefficient
找到约 3,200 项符合「coefficient」的源代码
代码结果 3,200
www.eeworm.com/read/160659/5567960
dat coefficient.dat
0.000167849241, 0.000076295109, 0.000000000000,-0.000061036088,-0.000091554131,-0.000076295109,-0.000045777066, 0.000000000000,
0.000061036088, 0.000091554131, 0.000106813153, 0.000076295109, 0.000
www.eeworm.com/read/132373/14091458
db coefficient.db
www.eeworm.com/read/386279/8758375
m coefficient_matrix.m
function [A,b]=coefficient_matrix(str)
% File name:coefficient_matrix.m
% Author:Yan Anxin
% ID number:081810
% Date:finished on 2008.11.15
% Description:
% Here defines a fun
www.eeworm.com/read/285673/8823881
m mixing_coefficient.m
function MC = Mixing_Coefficient(X,MU,SIGMA)
M = normpdf(X,MU,SIGMA);
[r,c] = size(M);
MC = 0.0;
for i=1:c
MC = MC + M(i);
end
MC = MC/c;
www.eeworm.com/read/270974/11014487
m differential_coefficient.m
clear;
close all;
dt=0.01;
u=5;
y1(1)=1;
y2(1)=-1;
for i=1:1000
y1(i+1)=y2(i)*dt+y1(i);
y2(i+1)=[u*(1-y1(i)^2)*y2(i)-y1(i)]*dt+y2(i);
end
i=1:1000;
hfig1=figure;
set(hfig1,'color',
www.eeworm.com/read/462719/7197528
m clustering_coefficient.m
function [C,aver_C]=Clustering_<mark>Coefficient</mark>(A)
%% 求网络图中各节点的聚类系数及整个网络的聚类系数
%% 求解算法：求解每个节点的聚类系数，找某节点的所有邻居，这些邻居节点构成一个子图
%% 从A中抽出该子图的邻接矩阵，计算子图的边数，再根据聚类系数的定义，即可算出该节点的聚类系数
%A————————网络图的邻接矩阵
%C———————— ...
www.eeworm.com/read/445139/7598622
m clustering_coefficient.m
function [C,aver_C]=Clustering_<mark>Coefficient</mark>(A)
%% 求网络图中各节点的聚类系数及整个网络的聚类系数
%% 求解算法：求解每个节点的聚类系数，找某节点的所有邻居，这些邻居节点构成一个子图
%% 从A中抽出该子图的邻接矩阵，计算子图的边数，再根据聚类系数的定义，即可算出该节点的聚类系数
%A————————网络图的邻接矩阵
%C———————— ...
www.eeworm.com/read/438589/7729612
m ch_coefficient.m
function H=ch_coefficient(channel,Nr,Nt);
if(channel==1)
H=ones(Nr,Nt);
elseif(channel==2)
H=rey(Nr,Nt);
end
www.eeworm.com/read/492533/6415329
m corr_coefficient.m
%该函数求出了信号（噪声）的相关系数矩阵
function [signal_corr,noise_corr]=corr_coefficient(signal,noise,signal_number,antenna_number)
for m=1:signal_number-1
fo
www.eeworm.com/read/223154/14652228
m coefficient_of_variation.m
function cv=coefficient_of_variation(i,DIM)
% COEFFICIENT_OF_VARIATION returns STD(X)/MEAN(X)
%
% cv=coefficient_of_variation(x [,DIM])
% cv=std(x)/mean(x)
%
% see also: SUMSKIPNAN, MEAN, STD