EMSeg

Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

本仿真为电动汽车充电仿真，采用了非隔离式的DC/DC环节(The simulation for the electric car charging simulation, using a non-isolated DC/the DC link)

matlab实现灰色预测程序及案例matlab实现灰色预测程序及案例matlab实现灰色预测程序及案例matlab实现灰色预测程序及案例(matlab gray prediction program and case matlab matlab achieve gray forecasting procedures and case the gray forecasting procedures and Case matlab Grey prediction program and case)

说明：  cootes提出的ASM算法的matlab实现。在cootes用于课堂使用的源代码的基础上改写。改正了原来代码中的一些错误，加入了方便使用的样本训练标注保存环节。供图像分析处理，模式识别，人工智能研究者使用。(the ASM Algorithm Implementation of Matlab. Cootes used in the classroom use of the source code on the basis rewritten. To correct the original source of some mistakes, joined the ease of use of training samples preserved tagging links. For image processing, pattern recognition, artificial intelligence researchers.)

image classification using SVM

这个M文件产生了一个以T为周期，来自于经验估计信道的噪声信号，并且仿真了最新的自适应盲均衡恒模算法。(These M-files generate received noisy signals from empirically-measured channels and simulates a blind adaptive equalizer updated with Constant Modulus Algorithm)

CR行列式计算几何非线性空间杆系结构的通用matlab程序(CR determinant geometrically nonlinear space truss structures generic matlab program )

对于一维波的压缩感知重构算法，使用OMP算法，重构效果良好，供参考 (For the one-dimensional wave of compressed sensing reconstruction algorithm, using OMP algorithm to reconstruct the effect is good, for reference)

最小二乘法的matlab M文件，简单易懂，还画出了相应的图形(Least squares matlab M files, easy to understand, but also draw the corresponding graph)

图像的直方图的表示方法以及其具体matlab实现代码(Histogram representation, and their specific implementation code matlab)