代码搜索：N1
找到约 6,450 项符合「N1」的源代码
代码结果 6,450
www.eeworm.com/read/154760/11929309
m stepseq.m
function [x,n]=stepseq(n0,n1,n2)
n=[n1:n2];
x=[(n-n0)>=0];
www.eeworm.com/read/151561/12201098
m iir.m
function y=IIR(fai,M)
w=0:pi/(M-1):pi;
z1=exp(-j.*w);z2=z1.*z1;
y=ones(1,M);
k=10;
for n1=1:k
m1=4*(n1-1);
x(n1)=abs((1+fai(m1+1)*z1+fai(m1+2)*z2)/(1+fai(m1+3)*z1+fai(m1+4)*z2));
y
www.eeworm.com/read/222518/14686898
txt 用有限元法求解三角形形区域上的possion方程.txt
% 用有限元法求解三角形形区域上的Possion方程
function Finite_element_tri(Imax,Jmax)
global ndm nel na
% ndm 总节点数
% nel 基元数
% na 活动节点数
Imax=30;Jmax=60;%设定网格数
V=0; J=0;X0=1/Imax;Y0=X0;
domain_tri
[X,Y,NN,NE]=
www.eeworm.com/read/211683/15175545
cpp 11.cpp
/*---------------------------------------例题11-------------------------------------------------------------------*/
#include
using namespace std;
int main()
{
int month;
int
www.eeworm.com/read/210671/15193887
cpp fig08_08.cpp
// Fig. 8.8: fig08_08.cpp
// Test driver for HugeInt class
#include
using std::cout;
using std::endl;
#include "hugeint1.h"
int main()
{
HugeInt n1( 7654321 ), n2( 7891234
www.eeworm.com/read/207278/15275934
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak,
www.eeworm.com/read/207278/15275960
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak,
www.eeworm.com/read/473402/6852024
m gpc1.m
% Procedure GPC simulation
% The system controled has impulse TF H(q)=K(q-b)/((q-1)(q-a));
% Where q is delay factor, a=exp(-h), K=exp(-h)-1+h, b=1-h(1-exp(-h))/(exp(-h)-1+h)
% h is simple interval
www.eeworm.com/read/334935/12561091
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak, lags
www.eeworm.com/read/334935/12561165
m acf.m
function [ak, lags] = acf(x, m, w)
%ACF compute autocorrelation function at m lags
%--- via Rader's method based on the FFT.
% ==> works for complex-valued signals
%
% Usage: [ak, lags