代码搜索：LED Matrix
找到约 10,000 项符合「LED Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/424281/10474797
h gsl_matrix_uint.h
/* matrix/gsl_matrix_uint.h
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000, 2007 Gerard Jungman, Brian Gough
*
* This program is free software; you can redistribute it and/or modify
* it under
www.eeworm.com/read/353001/10484336
asv fform_validation_matrix.asv
function [omega,Z]=fform_validation_matrix(Z1,Z2)
%如何生成确认矩阵
[n,n1]=size(Z1);
[n,n2]=size(Z2);
k=1;%落入门限公共部分量测个数
flag(:,k)=[0;0];%量测为同一量测的判断标志。
flag1(k)=0;%Z1中有和Z2相同量测标志
flag2(k)=0;%Z2中有和Z1相同量
www.eeworm.com/read/353001/10484392
m fform_validation_matrix.m
function [omega,Z]=fform_validation_matrix(Z1,Z2)
% 如何生成确认矩阵
[n,n1]=size(Z1);
[n,n2]=size(Z2);
k=1;%落入门限公共部分量测个数
flag(:,k)=[0;0];%量测为同一量测的判断标志。
flag1(k)=0;%Z1中有和Z2相同量测标志
flag2(k)=0;%Z2中有和Z1相同
www.eeworm.com/read/353001/10484433
asv fform_validation_matrix.asv
function [omega,Z]=fform_validation_matrix(Z1,Z2)
%如何生成确认矩阵
[n,n1]=size(Z1);
[n,n2]=size(Z2);
k=1;%落入门限公共部分量测个数
flag(:,k)=[0;0];%量测为同一量测的判断标志。
flag1(k)=0;%Z1中有和Z2相同量测标志
flag2(k)=0;%Z2中有和Z1相同量
www.eeworm.com/read/353001/10484491
m fform_validation_matrix.m
function [omega,Z]=fform_validation_matrix(Z1,Z2)
% 如何生成确认矩阵
[n,n1]=size(Z1);
[n,n2]=size(Z2);
k=1;%落入门限公共部分量测个数
flag(:,k)=[0;0];%量测为同一量测的判断标志。
flag1(k)=0;%Z1中有和Z2相同量测标志
flag2(k)=0;%Z2中有和Z1相同
www.eeworm.com/read/352678/10526296
uv2 matrix_key.uv2
### uVision2 Project, (C) Keil Software
### Do not modify !
Target (Target 1), 0x0000 // Tools: 'MCS-51'
Group (Source Group 1)
File 1,2, 0x0
File 1,1,
www.eeworm.com/read/352678/10526324
m51 matrix_key.m51
BL51 BANKED LINKER/LOCATER V5.03 08/24/2007 09:30:04 PAGE 1
BL51 BANKED LINKER/LOCATER V5.03, INVOKED BY:
D:\KEIL\C51\BIN\BL51.EXE STARTU
www.eeworm.com/read/160392/10536437
h matrix_entry_key.h
/*
HYSDEL
Copyright (C) 1999-2002 Fabio D. Torrisi
This file is part of HYSDEL.
HYSDEL is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public
www.eeworm.com/read/421730/10701625
pdf priority-matrix-a4.pdf
www.eeworm.com/read/349646/10808504
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Min