代码搜索:plot

找到约 10,000 项符合「plot」的源代码

代码结果 10,000
www.eeworm.com/read/420191/10811873

m f2_36.m

% f2_36: Use human_c disp 'Use human_c to plot Figure 2.36'
www.eeworm.com/read/275459/10816226

m digital_filter.m

b=menu('请选择滤波器','低通滤波器','高通滤波器','带通滤波器','EXIT'); if b==5; b=0; end close all; while(b) temp=menu('请选择滤波器类型','IIR滤波器','FIR滤波器'); if temp==1 if b==1 figure(1); [y,fs,b
www.eeworm.com/read/419769/10838711

m exa11041.m

%----------------------------------------------------------------- % exa110401.m 产生db2~db9正交小波的尺度函数和小波函数 %------------------------------------------------------------------ clear; iter=8 [phi2,
www.eeworm.com/read/419769/10838787

m exa120501.m

%-------------------------------------------------------------------------- % exa120501.m, for example 12.5.1 and fig12.5.3 %-----------------------------------------------------------------------
www.eeworm.com/read/419769/10838834

m exa010201b.m

%--------------------------------------------------------------------------------------- % exa010201b.m, for example 1.2.3 % 说明信号的子带分解; %----------------------------------------------------------
www.eeworm.com/read/419769/10838893

m exa090702.m

% ------------------------------------------------------------------- % exa090702.m, for example 9.7.2 and fig 9.7.2 % 连续小波变换。noissin 是MATLAB中带噪声的正弦信号。 % 本程序给出的是连续小波变换的灰度图表示。 %--------------------
www.eeworm.com/read/419769/10838951

m exa120502.m

%-------------------------------------------------------------------------- % exa120502.m, for example 12.5.2 and fig12.5.4 %-----------------------------------------------------------------------
www.eeworm.com/read/419769/10839006

m exa010201a.m

%--------------------------------------------------------------------------------------- % exa010201a.m, for example 1.2.2 % 说明信号的子带分解; %----------------------------------------------------------
www.eeworm.com/read/419563/10860680

txt fig3_07.m .txt

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Figure 3.7 % Kaiser weighting % (a)weighting for beta = 3 and 6 % (b)Beam patterns for beta = 3 and 6 % Xin Zhang updated 3/17/99 % Lillian Xiaolan Xu upd
www.eeworm.com/read/274644/10861301

m youfa.m

fs=1000; f=20; M=0.5; t=0:1/fs:M; n=length(t); s=sin(2*pi*f*t).*exp(-20*t); %st诱发响应:指数衰减正弦波 %plot(s); N=1000; xt=zeros(N,n); for i=1:N e=rand(1,n); a=rand(1,1)/20; h=zeros(1,fl