test_lms_rls

lms算法的MATLAB的仿真程序，是主要的程序(lms algorithm procedure)

用matlab 7.0 编的 主成分分析程序（GUI）(principal component analysis program （matlab7.0 GUI）)

单层感知器分类和权值调整过程，学习率分别为0.01 0.05 0.1 0.5(Single layer perceptron device classification and weights to adjust the process)

处理信号的时频分析，D-S证据理论数据融合，AHP层次分析法计算判断矩阵的最大特征值。( When processing a signal frequency analysis, D-S evidence theory data fusion, Calculate the maximum eigenvalue judgment matrix of AHP.)

说明：  2机5节点系统，可实现简单牛拉法，快速解耦法迭代潮流计算(2-machine 5-node system can realize simple Niula method and fast decoupling method to iterate power flow calculation)

说明：  相干增强扩散，可用于去噪，去噪的同时可较好的保持边缘特征 (failed to translate)

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.)

融合边缘与区域的水平集分割算法，分割效果优于单独的模型 (Integration of edge and region level set segmentation algorithm, the split is better than a separate model)

image segmentation using Fuzzy C Means Clustering algorithm

searching for genetic algo in matlab for tsp