overcrane-reference

Fisher Linear Discriminant

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.

code to find different FFTs.

切换系统matlab仿真： （1）LMI求解 （2）对应仿真图(the simulation of switched systems)

关于复数小波的matlab代码，用于图像去噪、图像增强等(of Complex Wavelet the Matlab code for Image Denoising, image enhancement, etc.)

说明：  利用ARMA、AR、MA模型，以及周期图等进行系统参数估计(use ARMA, AR, MA model and cycle map for parameter estimation system)

这个例子是书上的Morlet小波程序，运行时总是出错。包括 ??? Error using ==> CWT_Morlet at 11 At least 1 parameter required! 这个问题是怎么回事？error的用法错在哪里了？还有，这个程序还有哪些错误呢？比如函数定义之类的问题？请各位大侠帮帮我吧。( Review the release notes for other MathWorks® products required for this product (for example, MATLAB® or Simulink® ). Determine if enhancements, bugs, or compatibility considerations in other products impact you. If you are upgrading from a software version other than the most recent one, review the current release notes and all interim versions. For example, when you upgrade from V)

signal modulation it is good for you

program for your use

OFDM与最小二乘算法，含有几个例子，希望对大家有用(OFDM and the least square algorithm，Contains a few examples，Hope to be useful)