代码搜索：average
找到约 5,196 项符合「average」的源代码
代码结果 5,196
www.eeworm.com/read/182284/9208852
m klse822.m
function y=klse822()
clear;
clc;
close all;
P_input_average=1e-6;
%*******************************
Eb=P_input_average;
%nsp=1;%理想放大器
%hv=6.626*10^(-34)*1.94*10^(14);%h*f,为光子能量，f为波长
www.eeworm.com/read/182284/9208854
asv klse822.asv
function y=klse822()
clear;
clc;
close all;
P_input_average=1e-6;
%*******************************
Eb=P_input_average;
%nsp=1;%理想放大器
%hv=6.626*10^(-34)*1.94*10^(14);%h*f,为光子能量，f为波长
www.eeworm.com/read/182284/9208908
m klse822.m
function y=klse822()
clear;
clc;
close all;
P_input_average=1e-6;
%*******************************
Eb=P_input_average;
%nsp=1;%理想放大器
%hv=6.626*10^(-34)*1.94*10^(14);%h*f,为光子能量，f为波长
www.eeworm.com/read/182284/9208946
asv klse822.asv
function y=klse822()
clear;
clc;
close all;
P_input_average=1e-6;
%*******************************
Eb=P_input_average;
%nsp=1;%理想放大器
%hv=6.626*10^(-34)*1.94*10^(14);%h*f,为光子能量，f为波长
www.eeworm.com/read/333191/12699784
m fuzzyts.m
%Takagi-Sugeno Fuzzy Inference System (no delay)(add y(k-1))
clear;
load average22.txt;%yhl826.txt;
a=average22;%yhl826;
a1=(a(:,5)+a(:,6)+a(:,7))/3;
a2=(a(:,8)+a(:,9)+a(:,10))/3;
a3=(a(:,11)+a
www.eeworm.com/read/452380/1656525
txt mysession.txt
Areas Code Size Count Incl. Total Incl. Maximum Incl. Minimum Incl. Average Excl. Total Excl. Maximum Excl. Minimum Excl. Average
alloc_1d_float 208 1 18838 18838 18838 18838 100 100 10
www.eeworm.com/read/215455/4905082
java j02080303.java
import java.lang.*;
class j02080303
{
public int getAverage(int value1,int value2)
{
int average;
average = (value1 + value2)/2;
System.out.println("参数型式：int value1,int value2");
www.eeworm.com/read/378914/2679418
m p2_1.m
% Program P2_1
% Simulation of an M-point Moving Average Filter
% Generate the input signal
n = 0:100;
s1 = cos(0);
s2 = cos(2*pi*0.5*n);
x= s1+s2;
% Implementation of the moving average filter
M = in
www.eeworm.com/read/378914/2679419
asv p2_1.asv
% Program P2_1
% Simulation of an M-point Moving Average Filter
% Generate the input signal
n = 0:100;
s1 = cos(0);
s2 = cos(2*pi*0.5*n);
x= s1+s2;
% Implementation of the moving average filter
M = in