test3

matlab eig 函数说明 横不错哦(matlab eig function shows a good cross-Oh)

MATLAB求解非线性方程组 fsolve源程序代码 该列具有典型性和代表性(MATLAB求解非线性方程组 fsolve源程序代码)

Harris detector The code calculates the Harris Feature Points When you execute the code, the test image file opened and you have to select by the mouse the region where you want to find the Harris points, then the code will print out and display the feature points in the selected region. You can select the number of FPs by changing the variables max_N & min_N

fp simulation source code

本代码使用高斯绝对稀疏信号进行重构，采用的重构算法是SAMP，重构效果好！(This code uses the absolute sparse Gaussian signal reconstruction, reconstruction algorithm uses a SAMP, good remodeling effect!)

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)

Matlab入门学习，包括源程序，word文档已解密。(Matlab entry-learning, including source code, word documents decrypted.)

research paper on the development of mppt on varies artificial intelli algorithms

用matlab仿真多目标跟踪中的航迹关联融合的程序，相当好啊！！！(Matlab simulation of multi-target tracking with the track association fusion procedure, very good! ! !)

example Kalman Filter