youxianchafenfajiaoan

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.

Devkit8600 AM3359配套的资源开发包,可以再裸机环境下快速运行该程序平涂AM3359外设功能。(Devkit8600 AM3359 SDK)

双馈异步电机的仿真模型，能用的，可以自己修改参数，清晰明了。(Simulation model of doubly fed asynchronous motor)

matlab source code from mathworks

stm32编写的行人惯性导航源码，可在matlab上进行算法的实现(stm32 pedestrian inertial navigation+matlab)

古典密码学中的一些实现加密的算法，用Matlab实现的。(Classical Cryptography to achieve some of the encryption algorithm, using Matlab to achieve.)

基于kalman滤波的目标跟踪代码，用matlab实现了对目标的跟踪。(Kalman filter based target tracking code, matlab achieve the target tracking.)

ldpc WBF算法,经典的算法,matlab源码,可执行(ldpc WBF algorithm, the classical algorithm, matlab source code, executable)

线性规划 包括单纯形法，梯度，牛顿(linear programming including the simplex method, gradient, Newton, etc.)

gabor filter for music