代码搜索：Raspberry Pi
找到约 10,000 项符合「Raspberry Pi」的源代码
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www.eeworm.com/read/184790/9075892
txt 例3.12.txt
例3.12 用下面公式求π的近似值。π/4≈1-1/3+1/5-1/7+…直到最后一项的绝对值小于10的-7次方为止。
根据给定的算法很容易编写程序如下：
#include
#include
#include
using namespace std;
int main( )
{int s=1;
double n=1
www.eeworm.com/read/184565/9093327
m exa060603.m
%----------------------------------------------------------------------------
% exa060603.m, for example 6.6.3;
% To design IIR Butteworth bandstop DF by analog-lowpass,
% -------------------------
www.eeworm.com/read/184565/9093344
m exa060701_3.m
%-----------------------------------------------------------------------------
% exa060701_3.m , for example 6.7.1 and 6.5.1
% to test butter.m
%---------------------------------------------------
www.eeworm.com/read/184565/9093347
m exa060701_2.m
%-----------------------------------------------------------------------------
% exa060701_2.m , for example 6.7.1 and 6.5.1
% to test buttord,lp2lp,bilinear ;
% to design Low-pass DF with s=2/Ts[(
www.eeworm.com/read/184564/9093390
m exa050501.m
%------------------------------------------------------------------------
% exa050501.m, for example 5.5.1 and fig5.5.1
% to explain the spectra factorization
%------------------------------------
www.eeworm.com/read/184544/9095041
m p2.m
clc;
clear;
X=[8.125 8.4 9.0 9.485 9.6 9.959 10.166 10.2];
Y=[0.0774 0.099 0.280 0.60 0.708 1.200 1.800 2.177];
m0=0.01087;
mn=100;
Xnew=X*cos(pi/
www.eeworm.com/read/282423/9095517
mac c2cxrad2.mac
******************************************************************************
* FILE: c25cxrad2.mac --> macro file for radix 2 fft's based on 320c5x *
*
www.eeworm.com/read/381319/9097946
m lijian.m
n=1:1024;
x=cos(0.1*2*pi*n);
%tfrsp(x');
%tfrwv(x');
%tfrpwv(x');
tfrcw(x')
%tfrspwv(x');
www.eeworm.com/read/381314/9098720
m exa011004_sinc.m
%-----------------------------------------------------------------
% exa011004_sinc.m, for example 1.10.4
% to generate the sinc function.
% 产生一 sinc 函数；
%-----------------------
www.eeworm.com/read/381312/9098744
m dsmd.m
function P=dsmd(Rc,Uc)
x=0.001:0.001:4;
a=exp(-log(x/Uc).^2/(2*Rc));
b=1./(sqrt(2*pi*Rc)*x);
P=a.*b;
plot(x,P);