代码搜索：Variance

找到约 2,271 项符合「Variance」的源代码

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m scalem.m

%SCALEM Compute scaling map % % W = scalem(A) % % W is a map that shifts the origin to the mean of the dataset A. % % W = scalem(A,'variance') % % The origin is shifted to the mean of A and the
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m klm.m

%KLM Karhunen-Loeve Mapping (PCA of mean covariance matrix) % % [W,alf] = klm(A,n) % [W,n] = klm(A,alf) % % The Karhunen-Loeve Mapping performs a principal component analysis % (PCA) on the mean cl
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m var.m

%VAR Dataset overload % % [V,U] = VAR(A,W) % % Computes variance V and mean U in a single run for consistency with datafile overload.
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m klm.m

%KLM Karhunen-Loeve Mapping (PCA or MCA of mean covariance matrix) % % [W,FRAC] = KLM(A,N) % [W,N] = KLM(A,FRAC) % % INPUT % A Dataset % N or FRAC Number of dimensions (>= 1) or fr
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m fig9_28.m

clear all npts = 2000; del = 1/2000; t = 0:del:1; inp = (1+.2 .* t + .1 .*t.^2) + cos(2. * pi * 2.5 .* t); X0 = [1,.1,.01]'; % it is assumed that the measurement vector H=[1,0,0] % this is the
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m fig9_27.m

clear all npts = 2000; del = 1/2000; t = 0:del:1; inp = (1+.2 .* t + .1 .*t.^2);% + cos(2. * pi * 2.5 .* t); X0 = [1,.1,.01]'; % it is assumed that the measurmeny vector H=[1,0,0] % this is the
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java agentparam.java

package asm; import java.awt.Frame; /** * Title: Artificial Stock Market * Description: 人工模拟股市（来源：SFI的Swarm版本）的Java版本 * Copyright: Copyright (c) 2003 * Company: http://agents.yea
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java agent.java

package asm; import java.util.Vector; /** * Title: Artificial Stock Market * Description: 人工模拟股市（来源：SFI的Swarm版本）的Java版本 * Copyright: Copyright (c) 2003 * Company: http://agents.ye
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m00 !noisepw.m00

function nvar = noisepwr1(num,den) % Computes the output noise variance due % to input quantization of a digital filter % based on a partial-fraction approach % % num and den are the numerator and den
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m globals.m

% definitions of global variables % values for these are set in ginit.m global PLAN_FIG; % handle for main plan figure global WORLD_SIZE; % size of the world (for display purposes only). global
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