CUMTRUE

m-file to convert RGB2grayscale

三维时域有限差分matlab程序，带完美匹配层(Three-dimensional finite-difference time-domain matlab program, with perfectly matched layer)

非常好的偏最小二乘分析的程序，包含了典型相关分析、主成分分析和多元线性回归。可以根据具体的需要更改代码变成非线性回归，建立多个自变量和多个因变量之间的关系应用很广。包含计算程序和画图表示结果的程序两个m文件(Very good partial least squares analysis of programs, including the canonical correlation analysis, principal component analysis and multiple linear regression. It can become a non-linear regression, depending on the need to change the code to establish relationships between multiple independent variables and multiple dependent variables very wide application. Program includes the calculation procedures and drawing showing the results of two m files)

Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The variants of the problems are numerous which model the objective and the constraints in different ways. The basic economic dispatch problem can described mathematically as a minimization of problem of minimizing the total fuel cost of all committed plants subject to the constraints

一种非线性主成分分析Matlab代码 对数中心化处里(A nonlinear principal component analysis Matlab code number in the center of the Department of)

this program can folow points in the face

用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。(Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation.)

主要通过小波算法，实现对信号的分析，然后通过信号重构，实现与原信号对比。(Wavelet analysis, signal reconstruction)

小车避障 模糊控制 simulink仿真(The car obstacle avoidance fuzzy control simulink simulation)

模式识别中经典的PCA算法，大家可以参考借鉴一下！(PCA in the classic pattern recognition algorithms, we can refer to learn it!)