代码搜索:Normalized

找到约 4,216 项符合「Normalized」的源代码

代码结果 4,216
www.eeworm.com/read/294077/8254995

m bicoherence.m

function bicoherence(action) % %Bicoherence - grafical interface for power spectrum and bicoherence ploting % % Click "Start" button in order to begin the simulation. % Using the "New plot" but
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m histogram.m

function histogram(action) % %Histogram - grafical interface for 2D attractors ploting % % Click "Start" button in order to begin the simulation. % Using the "New plot" button a new figure is d
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m timefreq.m

function timefreq(action) %timefreq - time and frequency domain for a chaotic signal % % Click "Start" button in order to begin the simulation. % Using the "New plot" button a new figure is disp
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m bifurcation.m

function bifurcation(action) % %Bifurcation - grafical interface for bifurcation ploting % % Click "Start" button in order to begin the simulation. % You can stop the simulation at any time by
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m ex11_3.m

hf=figure('Color',[0,1,1],'Position',[100,200,400,200],... 'Name','数制转换','NumberTitle','off','MenuBar','none'); uicontrol(hf,'Style','Text', 'Units','normalized',... 'Position',[0.05,0.
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m ex11_4.m

clf; set(gcf,'Unit','normalized','Position',[0.2,0.3,0.55,0.30]); set(gcf,'Menubar','none','Name','图形演示','NumberTitle','off'); axes('Position',[0.05,0.15,0.55,0.7]); uicontrol(gcf,'Style','text',
www.eeworm.com/read/393394/8290144

m statmodelr.m

function [H1,H2,Q, estat] = StatModelR(xn,B,N); % Statistical Model (Rounding) for A/D Quantization error and its Distribution % ------------- -----------------------------------------------------
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m normr.m

function n = normr(m) %NORMR Normalize rows of matrix. % % NORMR(M) % M - a matrix. % Returns a matrix the same size with each % row normalized to a vector length of 1. % % See also NORMC, PNORMC.
www.eeworm.com/read/392361/8348422

m exm104_3.m

function exm104_3( ) global hedit hpop hlist clf reset % set(gcf,'unit','normalized','position',[0.1,0.4,0.85,0.35]);%设置图形窗大小 set(gcf,'defaultuicontrolunits','normalized'); s
www.eeworm.com/read/174160/9605642

readme

############### Description: Small routines for MATLAB to generate random numbers from various handy distributions: binomial, geometric, Pareto etc. The detailed documentation can be found in