代码搜索：Normalized

找到约 4,216 项符合「Normalized」的源代码

代码结果 4,216
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www.eeworm.com/read/450221/7488322

m navier2d.m

function Navier2d % This is the GUI for Navier2d. % % Type "navier2d" to start the program. % % See the *.pdf tutorial for more information. % % The actual Navier-Stokes solver is in tvd_rk2.
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www.eeworm.com/read/449504/7502900

m normxy.m

function [teast,tnorth] = normxy(east,north) % PURPOSE: Perform isotropic normalization of x-y coordinates %--------------------------------------------------- % USAGE: [easto northo] = normxy(east,no
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www.eeworm.com/read/448898/7523203

m root.m

%绘制根轨迹图 disp('开环传递函数G(s)为：') printsys(num1,den1,'s'); disp('反馈传递函数H(s)为:') printsys(num2,den2,'s'); lcwin=figure('Position',[120 49 513 491],'Name','180度根轨迹图','NumberTitle','off',... 'Me
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www.eeworm.com/read/448898/7523215

m root01.m

%绘制根轨迹图 lcwin=figure('Position',[120 49 513 491],'Name','根轨迹图','NumberTitle','off',... 'MenuBar','none'); set(gcf,'Units','normalized','backingstore','off'); axes('position',[0 0 1 1]); axi
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www.eeworm.com/read/448898/7523220

m root2.m

%绘制根轨迹图 disp('开环传递函数G(s)为：') printsys(num1,den1,'s'); disp('反馈传递函数H(s)为:') printsys(num2,den2,'s'); lcwin=figure('Position',[120 49 513 491],'Name','0度根轨迹图','NumberTitle','off',... 'Menu
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www.eeworm.com/read/448896/7523248

m bode1.m

%绘制开环bode图 disp('开环传递函数G(s)为：') printsys(num1,den1,'s'); disp('反馈传递函数H(s)为:') printsys(num2,den2,'s'); lcwin=figure('Position',[120 49 513 491],'Name','开环bode图','NumberTitle','off',... '
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www.eeworm.com/read/448896/7523264

m bode2.m

%绘制根轨迹图 disp('开环传递函数G(s)为：') printsys(num1,den1,'s'); disp('反馈传递函数H(s)为:') printsys(num2,den2,'s'); lcwin=figure('Position',[120 49 513 491],'Name','闭环bode图','NumberTitle','off',... 'Men
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www.eeworm.com/read/448535/7531243

m testeigfil3.m

% test the eigenfilter stuff % Copyright 1999 by Todd K. Moon Nplot = 256 ; wp = 0.2; ws = 0.25; N = 65; alpha = 0.999; % W0 = [.25*pi 0.5*pi]'; W0 = [0.1*pi]'; h1 = eigfilcon0new(wp*pi,w
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www.eeworm.com/read/448535/7531276

m testeigfil2.m

% Test the eigenfilter stuff % Copyright 1999 by Todd K. Moon Nplot = 256 ; wp = 0.2*pi; ws = 0.25*pi; N = 45; alpha = 0.2; W0 = [0 0.4*pi .5*pi .8*pi]'; d = [1 1 0 0]'; %$$$ W0 = [0 0.
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www.eeworm.com/read/448535/7531335

m hmmapiupn.m

function [A,pi] = hmmApiupn(y,alphahat,betahat,f,HMM) % % update the HMM probabilities A and pi using the normalized forward and % backward probabilities alphahat and betahat % % function [A,pi]
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