代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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m pca1.m
% PCA1: Perform PCA using covariance.
% data --- MxN matrix of input data (M dimensions, N trials)
% signals --- MxN matrix of projected data
% PC --- each column is a PC
% V
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m dummy.m
function y=dummy(x,v)
% DUMMY
% DUMMY(x,v) creates a matrix of dummy variables corresponding to the elements of v
% x: Nx1 vector of data to be broken into dummies.
% v: (K-1)x1 vector specifying
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m rows.m
function l=rows(x);
% ROWS
% ROWS(X) returns the number of lines in matrix
i=size(x);
l=i(1,1);
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txt readme.txt
15 GAUSS Functions programmed in MATLAB 16/02/98
-------------------------------------------------------
Prepared by:
Dr Anne-Sophie Vanroyen
Research Fellow
FERC, City University Business
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m dummybr.m
function y=dummybr(x,v)
% DUMMYBR
% DUMMYBR(x,v) creates a matrix of dummy variables corresponding to the elements of v
% x: Nx1 vector of data to be broken into dummies.
% v: (K-1)x1 vector speci
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m missex.m
function y=missex(x,e)
% MISSEX
% MISSEX(x,e) converts values to the missing value code NaN according to the values
% given in a logical expression.
% x: NxK matrix
% e: NxK matrix of 0's and
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m layoutparset.m
function layoutpar=layoutparset(varargin)
%LAYOUTPARSET Link parameter configuration for WIM
% LAYOUTPAR=LAYOUTPARSET(NofMs,NofBs,SectPerBs,K) is a struct consisting
% of randomly generated ne
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m mp2cp.m
function [cp] = mp2cp(m,p)
% MP2CP Convert magnitude/phase matrix to complex matrix.
% CP=MP2CP(M,P) takes the magnitude/phase matrix and returns
% the complex data in CP.
%
% R
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m contents.m
% QFT Control Design Toolbox.
% Version 1.0.3 (R11) 21-Nov-1997
%
% Specialized X-Y Graphs.
% plotbnds - Nichols plot of bounds.
% plottmpl - Nichols plot of templates.
%
% Bound Computat
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m randvec.m
function x=randvec(n,m,c)
%RANDVEC Generate gaussian random vectors X=(N,M,C)
% generates a random matrix of size (n,p) where p is the maximum dimension of m or c
% Each row of x is independent wi