代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/304082/13801522
m rdct.m
function y=rdct(x,n)
%RDCT Discrete cosine transform of real data Y=(X,N)
% Data is truncated/padded to length N.
%
% This routine is equivalent to multiplying by the matrix
%
% rdct(eye(n
www.eeworm.com/read/304061/13802261
txt 例1.4.txt
例1.4 用全下标标识给矩阵元素赋值。
>> A=[1 3 5;2 4 6]
A =
1 3 5
2 4 6
>> A(3,3) % 提取A(3,3)的值。
??? Index exceeds matrix dimensions.
>> A(3,3)=9 % 给A(3,3)赋值。
A =
1
www.eeworm.com/read/303558/13812538
m ss_tbl31.m
Gold sequences for the table of problem 3.1 of Spread Spectrum Chapter
Note that the sequences are the columns of the below matrix not the rows,
so we have to take the transpose of the following m
www.eeworm.com/read/303512/13813922
m impedmat.m
% impedmat.m - mutual impedance matrix of array of parallel dipole antennas
%
% Usage: Z = impedmat(L,a,d)
%
www.eeworm.com/read/303411/13816762
cpp 000.cpp
/**********************************************************************\
* 指派问题的匈牙利算法 *
\*************************************************************
www.eeworm.com/read/303391/13816833
cpp matlib.cpp
#include "Intmat.hpp"
#include "matrix.hpp"
#include "IntVect.hpp"
#include
#include
#include "matlib.h"
extern char **Mwarningstring;
extern char **Merrorstring;
int So
www.eeworm.com/read/303058/13822596
m kf_loop.m
%KF_LOOP Performs the prediction and update steps of the Kalman filter
% for a set of measurements.
%
% Syntax:
% [MM,PP] = KF_LOOP(X,P,H,R,Y,A,Q)
%
% In:
% X - Nx1 initial estimate f
www.eeworm.com/read/303058/13822605
m etf_smooth1.m
%ETF_SMOOTH1 Smoother based on two extended Kalman filters
%
% Syntax:
% [M,P] = ETF_SMOOTH1(M,P,Y,A,Q,ia,W,aparam,H,R,h,V,hparam,same_p_a,same_p_h)
%
% In:
% M - NxK matrix of K mean estimates f
www.eeworm.com/read/303058/13822613
m schol.m
%SCHOL Cholesky factorization for positive semidefinite matrices
%
% Syntax:
% [L,def] = schol(A)
%
% In:
% A - Symmetric pos.semi.def matrix to be factorized
%
% Out:
% L - Lower triangular
www.eeworm.com/read/303048/13823283
m som_fuzzycolor.m
function [color,X]=som_fuzzycolor(sM,T,R,mode,initRGB,S)
% SOM_FUZZYCOLOR Heuristic contraction projection/soft cluster color coding for SOM
%
% function [color,X]=som_fuzzycolor(map,[T],[R],[mode]