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找到约 10,000 项符合 Raspberry Pi 的代码

e0656.m

x=(-3*pi:pi/50:3*pi)+eps;y=sin(x).^2+cos(x); lin=plot(x,y); cm=uicontextmenu; %创建控制曲线颜色的快捷菜单,有红色、蓝色和绿色三个选择项 uimenu(cm,'label','Red','callback','set(lin,''color'',''r''),') uimenu(cm,'label','

e0651.m

x=-3*pi:pi/10:3*pi; y = 1-sin(x).*cos(x); Hndl=plot(x,y);grid on set(gcf,'Color',[0 1 0.5]); %设置窗口背景为绿色 set(Hndl,'Color',[1 0 0]); %设置曲线颜色为红色 set(Hndl,'L

e0616.m

subplot(2,2,1);fplot('sind(x)',[-360 360]);title('sin(x)') subplot(2,2,2);fplot('cosd(x)', [-360 360]);title(' cos(x)') subplot(2,2,3);fplot('sinh(x)',[-2*pi 2*pi]);title(' sinh(x)') subplot(2,2,4)

e0647.m

x=-2*pi:.1:2*pi;y=sin(x); axes('GridLineStyle','-.','XLim',[ -2*pi,2*pi],'YLim',[-1,1]); h=line(x,y,'LineStyle',':','Color','g'); xlabel('-\pi \leq \Theta \leq \pi') ylabel('sin(\Theta)') title('

e0611.m

t=0:pi/20:4*pi;y=exp(-0.2*t).*(cos(t)+i*sin(t)); subplot(2,2,1),plot(t,y); %只绘制实部图形 title('plot of complex function vs time');xlabel('t');ylabel('y(t)'); t=0:pi/20:4*pi;y=exp(-0.2*t).*(cos(t)+i*si

hrollfcoef.m

% hrollfcoef.m % Generate coefficients of Nyquist filter function [xh] = hrollfcoef(irfn,ipoint,sr,alfs,ncc) %****************** variables ************************* % irfn : Number of symbols

iirfilter.m

function [b,a] = IIRfilter( ap,as,wp,ws ,fs) %定义函数其中返回参数b a为设计后的滤波器的分子分母的系数 T=1/fs ws=2/T*tan(ws/2); wp=2/T*tan(wp/2); N=ceil(0.5*log10((10.^(as/10)-1)/(10.^(ap/10)-1))/log10(ws/wp

fff1.m

function [B,A] = fff1( ap,as,wp,ws ,fs) %程序中fs为抽样频率,输出[A,B]为滤波器的系数 T=1/fs; ws=2/T*tan(ws/2); %频率修正 wp=2/T*tan(wp/2); N=ceil((log10((10^(as/10)-1

mlf.m

function [e]=mlf(alf,bet,c,fi); % % MLF -- Mittag-Leffler function. % MLF (alpha,beta,Z,P) is the Mittag-Leffler function E_{alpha,beta}(Z) % evaluated with accuracy 10^(-P)