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/212376/15157198

m exm07062_1.m

%exm07062_1.m clc x=pi/4;Ve=eval('1+sin(x)') Vf=feval('1+sin(x)',x)
www.eeworm.com/read/212376/15157226

m exm060251_1.m

t=2*pi*(0:20)/20;y=cos(t).*exp(-0.4*t); stem(t,y,'g');hold on;stairs(t,y,'r');hold off
www.eeworm.com/read/212376/15157493

m exm110633_1.m

function exm110633_1 shg;R0=1; a=12*R0;b=9*R0;T0=2*pi; T=5*T0;dt=pi/100;t=[0:dt:T]'; f=sqrt(a^2-b^2); th=12.5*pi/180; E=exp(-t/20); x=E.*(a*cos(t)-f);
www.eeworm.com/read/212131/15165607

m parabcyl.m

function f=Parabcyl(x,r,N) % computer parabolic cylinder funcion % input:x,r,N % output the value of f % if nargin
www.eeworm.com/read/212047/15167085

c tests.c

/* integration/tests.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 Brian Gough * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU Genera
www.eeworm.com/read/211981/15168814

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/211981/15168818

m exa020502.m

%------------------------------------------------------------------------- % exa020502.m, for example 2.5.2 and fig 2.5.6, %------------------------------------------------------------------------
www.eeworm.com/read/211981/15168844

m exa030202.m

%---------------------------------------------------------------------------- % exa030202, for example 3.2.2 and fig 3.2.4 % to explain how to unwrap the phase %------------------------------------
www.eeworm.com/read/211606/15176715

m xggszb.m

function y=xggszb1(N) % %产生相关高斯杂波 % % %产生服从高斯分布的随机数 % %clear; %clc; u1=rand(1,N); %标准正态分布的随机数 u2=rand(1,N); % for i=1:N x(i)=sqrt((-2)*log2(u1(i)))*cos(2*pi*u2(i)); end % %求滤波
www.eeworm.com/read/211606/15176716

m xggszb1.m

function y=xggszb(N) % %产生相关高斯杂波 % % %产生服从高斯分布的随机数 % clear; clc; u1=rand(1,N); %标准正态分布的随机数 u2=rand(1,N); % for i=1:N x(i)=sqrt((-2)*log2(u1(i)))*cos(2*pi*u2(i)); end % %求滤波器系数