代码搜索:Raspberry Pi

找到约 10,000 项符合「Raspberry Pi」的源代码

代码结果 10,000
www.eeworm.com/read/346860/11718220

m ex5_19.m

t=0:pi/20:2*pi; [x,y,z]= cylinder(2+sin(t),30); subplot(2,2,1); surf(x,y,z); subplot(2,2,2); [x,y,z]=sphere; surf(x,y,z); subplot(2,1,2); [x,y,z]=peaks(30); surf(x,y,z);
www.eeworm.com/read/157294/11721329

m exa060702_2.m

%-------------------------------------------------------------------------- % exa060702_2 , for example 6.6.2 and 6.7.2; % to test buttord.m and butter.m; % to design a Butterworth Bandpass digital
www.eeworm.com/read/346772/11723683

m 求如下三个系统的幅频响应.m

%------------------------------------------------------------------------- % exa020502.m, for example 2.5.2 and fig 2.5.6, %------------------------------------------------------------------------
www.eeworm.com/read/346772/11723718

m explain how to unwrap the phase.m

%---------------------------------------------------------------------------- % exa030202, for example 3.2.2 and fig 3.2.4 % to explain how to unwrap the phase %------------------------------------
www.eeworm.com/read/346772/11723737

m 设计 butterworth 带通滤波器.m

%-------------------------------------------------------------------------- % exa060702_2 , for example 6.6.2 and 6.7.2; % to test buttord.m and butter.m; % to design a Butterworth Bandpass digital
www.eeworm.com/read/156813/11762241

cpp p1-14.cpp

#include const double PI=3.1416; //声明常量(const变量)PI为3.1416 main() { //声明3个变量 double r=3,l,s; //计算圆的周长 l=2*PI*r; cout
www.eeworm.com/read/156813/11762330

cpp p1-4.cpp

##include //包含iostream.h头文件 void main() { //输出字符常量、变量和字符串 char c1='A'; cout
www.eeworm.com/read/346192/11763050

m filter.m

PI=3.14159; %=====%part1%=========%原始信号的产生%======% %y=sin(wx),其中:w=2∏/T=2∏f %对于模拟频率,需要对其采样,根据采样点数N与采样频率fs决定,y(k)=sin(wx*k/fs),等于是将原来的信号1s采样2000个,而采样频率为 %4000hz,等于说每2hz采一个信号 %============copyright
www.eeworm.com/read/156653/11786278

m ex031200.m

n = -5:10; x = sin(pi*n/2); k = -100:100; w = (pi/100)*k; % frequency between -pi and +pi X = x * (exp(-j*pi/100)).^(n'*k); % DTFT of x % signal decomposition [xe,xo,m] = evenodd(x,n);
www.eeworm.com/read/156528/11794973

m new_neg.m

function [y,PI] = new_neg() % %A new On-Line Negentropy-based Algorithm for Blind Source Separation %copyright 2005.4.14 %author:lucky zhang %used to separate audio signal %usage:[y,PI]=based_ne