PhcAB_16_n3_three_spaced_defect_multi_new_config

因为MATLAB需要用到处理器的数学运算部分(MATLAB默认用的是INTEL的数学处理单元),故需要设置一下BLAS(Basic Linear Algebra Subroutines,就是"基础线性几何子程序"的意思)环境变量. 首先请确认你的MATLAB的文件夹中有如下文件:atlas_Athlon.dll(AMD系列的请用这个)， atlas_P4.dll(P4的用这个)，atlas_PIII.dll(P3的用这个)，atlas_PII.dll(P2的用这个)，这些是对应处理器的数值运算优化文件 } 先找到 $MATLAB7inwin32目录下的atlas_Athlon.dll（AMD系列CPU使用）和atlas_P4.dll（奔4用）文件，放到MCR目录中（随便），然后设置环境变量 变量名：BLAS_VERSION 变量值：D:MCRv70atlas_Athlon.dll(Because the MATLAB mathematical operations need to use some of the processor (MATLAB is used by default INTEL mathematical processing unit), so you need to set BLAS (Basic Linear Algebra Subroutines, is " based on linear geometry subroutine" means) environment variable. First make sure your MATLAB folder the following files: atlas_Athlon.dll (AMD series please use this), atlas_P4.dll (P4' s with this), atlas_PIII.dll (P3' s use this), atlas_PII.dll ( P2, use this), these are the values corresponding to processor operations to optimize file} first find $ MATLAB7 bin win32 directory atlas_Athlon.dll (AMD series CPU use) and atlas_P4.dll (Pentium 4 with) file, put MCR directory (random), and then set the environment variable variable name: BLAS_VERSION variable value: D: MCR v70 atlas_Athlon.dll)

gotchars for C++ programming

说明：  matlab工具箱系列- othercolor配色工具包(Matlab toolbox series - other color matching Toolkit)

解析法的TDOA程序，可用于验证不同布站下的精度(TDOA)

一个求图像世界坐标系的代码，亲自试验过，保证有效。(Find the image of a world coordinate system code, personally tested, to ensure effective.)

利用matlab对声音信号进行消噪处理，最后进行总能量分析。(Use of matlab for processing sound signals to eliminate noise, and finally the total energy analysis.)

通信原理上机实验-基于Matlab 的数字基带和频带调制系统-4ASK调制解调系统MATLAB源程序(On communication theory machine experiment- Matlab-based digital baseband and band modulation system-4ASK MATLAB source code modulation and demodulation system)

MatrixVB 使用手册:介绍在VB中调用matlab函数的控件的使用方法及例子。在VB中使用强大的matlab运算工具！(MatrixVB User’s Guide)

神经网络遗传算法函数极值寻优非线性函数极值寻优(Neural network genetic algorithm optimization function extreme nonlinear function extreme optimization)

The SVM neural network information graining time