Dynamic-child-window-positioning---docking-dialog

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

matlab书籍 希望对matlab学习的人有所帮助(matlab books want to learn matlab help)

用Taylor展开法、平方法等解常微分方程，非常直观易懂，适合于初学者。(start with Taylor, Xie Ping method ordinary differential equations, very intuitive to understand and suitable for beginners.)

本程序是基于方向优先权的机器人最优路径寻找算法，也可用于求解迷宫的最短路径。(This procedure is based on the priority direction of the robot to find the optimal path algorithm can also be used to solve the shortest path to the maze.)

说明：  UWB超宽带通信系统中QOS实现的仿真代码(UWB Ultra-wideband communication systems to achieve the simulation code QOS)

用matlab，FFT解耦合的非线性薛定谔方程(Using matlab, FFT solution of coupled nonlinear Schrö dinger equation)

这个matlab程序实现了牛顿插值 （Newton s Interpolation ）算法(The matlab program Interpolation Newton (Newton s Interpolation) algorithm)

比较离散小波变换与双树复小波变换处理一维二维信号的不同表征。(Comparison of Discrete Wavelet Transform and Dual- tree Complex Wavelet Transform for One- dimensional Two- dimensional Signal Different Representation.)

The code and methods of image processing based on matlab

最新的改进的遗传算法，具有很多的函数，非常好用(Genetic Algorithm)