代码搜索:plot

找到约 10,000 项符合「plot」的源代码

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www.eeworm.com/read/340486/12153642

notes

DEMO01 - Model Plot This demo produces a plot of the model and the quits. Only 4 records are required in file PARAM1 for this run.... syncline :mo
www.eeworm.com/read/340486/12153682

notes

DEMO07 - Ray Plot - Listing Here we are back in downhole mode (Record 7) with 3 source locations (see file swell2), we have asked for a reflection from interface 2 (Record 19), for a
www.eeworm.com/read/340481/12154789

param

ftdata : name of time data file n : plot wavelet only? model1 : name of the model file 4 :# interfaces in
www.eeworm.com/read/151940/12160104

m 模板匹配实验.m

clear %图像预处理 A=imread('3.bmp');% 读入图像 %imshow(A);%显示原始图像 B=imcrop(A,[170 15 500 540]);%剪裁图像 %imshow(B);%显示剪切后图像 C=medfilt2(B,[3 3]);% 3*3二维中值滤波 %imshow(C);%显示滤波后图像 D=imadjust(C,[0.3 0.75],[]);
www.eeworm.com/read/340262/12168527

txt 234.txt

2代小波示意程序 2维小波变换经典程序 Daubechies小波基的构造 采用多孔trous算法(undecimated wavelet transform)实现小波变换 平移变换平移法(cycle_spinning)消除gibbs效应 提升法97经典程序 消失矩作用的程序 小波插值与小波构造 小波滤波器构造和消噪程序 小波谱分析mallat算法经典程序 2代小波示
www.eeworm.com/read/253950/12174236

m demglm2.m

%DEMGLM2 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
www.eeworm.com/read/253939/12176501

m holder.m

function h=holder(tfr,f,n1,n2,t,pl) %HOLDER Estimate the Holder exponent through an affine TFR. % H=HOLDER(TFR,F,N1,N2,T) estimates the Holder exponent of a % function through an affine time-frequenc
www.eeworm.com/read/151751/12177282

m 6-18.m

L = linspace(0,2.*pi,6); xv = cos(L)';yv = sin(L)'; xv = [xv ; xv(1)]; yv = [yv ; yv(1)]; %设定多边形 x = randn(250,1); y = randn(250,1);
www.eeworm.com/read/253872/12179325

m nicholsfr.m

function varargout = nicholsFr(F, Q, w, delay) % [gain, phase, w] = bodeFr(F, Q, w, delay) % Nichols diagram of a fractional plant. Paramter w may be a vector with the % frequencies of the plot (
www.eeworm.com/read/340084/12182847

m test.m

clf(figure(1));clf(figure(2)); clear for i=1:10 [EMinB(i,:),HInd(i,:),HTar,w]=main(); end [E,place]=min(EMinB(:,200)); clf(figure(1));clf(figure(2)); figure(1) plot(w/pi,abs(HInd(place,:)),