peizhun

P-LDA算法的代码，2009年的最新刊物的文章，较新的改进算法，供大家学习交流！(Perturbation LDA)

多个图片定时轮流切换，切换时可以改变样式(Photos regular rotation than switch can be changed when switching style)

vtk显示点云，和点云三角网格化。 源代码已可运行，不过vtk的环境需要你自己配置(vtk display point clouds, and point cloud triangular grid. Source code has been run, but vtk environment requires you to configure)

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

说明：  用simulink进行的有源电力滤波器的仿真，波形清晰(Simulation of active power filter with clear waveform)

雷达探测开关，用于检测前方是否有移动的物体?(Radar detection switch for detecting whether there is in front of the moving object?)

基于信息熵的迭代法求最佳阈值，并附参考论文及KSW熵法求阈值的程序。两个程序经实验测试通过无误。(Entropy-based iterative method for optimal threshold, together with reference papers and KSW entropy threshold method procedures. Two experimental test procedures correctly.)

自己写的中值滤波剔野程序，用于信号野值剔除。很简单，其中算法可替换(Write your own wild tick median filtering program for the signal, excluding outliers. Very simple algorithm which can be replaced)

说明：  基于小波变换的图像融合用matlab实现的源代码(image fusion)

考虑雨衰 阴影 和多径影响，可以广泛的应用于数据预测及数据分析,采用了小波去噪的思想。( Consider shadow rain attenuation and multipath effects Can be widely used in data analysis and forecast data, Using wavelet denoising thought.)