Vector-drawing-program

code for object extraction using matlab

to detect edge using sobel filter

The file HierarchicalLK.m contains the entry level function HierarchicalLK(....)

本程序是以电力系统算例 IEEE33为具体例子 ，只计算初始网络的节点电压 仅供参考(This procedure is based on the power system example IEEE33 for specific examples, only the initial network node voltage for reference only)

lda算法，用于特征降维，可以将特征映射到更加易于区分的空间(FISHER DISCRIMINANT ANALYSIS WITH KERNELS)

说明：  小波变换的matlab程序，包括离散小波变换，多尺度变换，小波包分析，小波用于图像压缩、水印、去噪(Matlab wavelet transform procedures, including the discrete wavelet transform, multi-scale transform, wavelet packet analysis, wavelet image compression, watermarking, denoising)

说明 cloudPlot将有助于形象化的一个二维数据集的分布。这是特别有用当在非常大的数据集凡redular阴谋（的x，y, . )只是填充纯色的情节，因为测量点重叠看着对方。 cloudPlot使用内置的例程在MATLAB中轴线设置限制，并适当格点的数据。 MATLAB的释放MATLAB的7.7（R2008b） (Description cloudPlot will help visualize the distribution of a 2-dimensional dataset. It is especially helpful when looking at extremely large datasets where a redular plot(x,y, . ) will just fill the plot with a solid color because the measurement points overlap each other. cloudPlot uses the built-in matlab routines to set the axis limits and grid points appropriate to the data. MATLAB release MATLAB 7.7 (R2008b))

代码实现了二阶AR模型的最优权值递推，使用了LMS和RLS两种方法，对二者性能进行了比较，分别进行了单次和100次平均进行性能观察，并且仿真了不同步长因子对LMS算法的影响以及不同lamda值对RLS算法的影响。文档包含了模型的详细介绍以及2种方法的理论仿真和结果分析。代码以附在之后。(Code to achieve the optimum weights recursive second order AR model, the use of LMS and RLS are two methods were compared for the two properties, were observed and 100 times the average per-performance and simulated sync Effect of a growth factor RLS algorithm impact on LMS algorithm and different lamda value. Document contains the results of theoretical simulation and detailed description of the model and two methods of analysis. Code annexed.)

本程序是在matlab的开发环境下，利用对指纹图像进行分类识别(This procedure is a development environment in matlab using the classification of fingerprint images to identify)

用matlabr2009编程实现神经网络模糊聚类算法(Programming neural network with matlabr2009 fuzzy clustering algorithm)