my_trajectoryt

matlab优化工具箱解线性规划，matlab优化工具箱简介。包括各种函数的说明使用方法和大量的例子。(matlab optimization toolbox of solutions of linear programming, matlab optimization toolbox profile. Description of various functions, including the use of methods and a large number of examples.)

采用点门限玻尔兹曼机实现对图像的自动特征提取以及特征选择。(Point-wise gated boltzmann machine was adopted to realize automatic feature extraction and feature selection of images.)

波束形成中MVDR波束形成的数据仿真及其结果(beamform of MVDR)

rgb color component analysis for image pprocessing porpese

最后的测试程序，得出文本检索的正确率和召回率(In the end, the cosine similarity of texts is used to measure the similarity between the query and documents. The data comparison indicates that this algorithm has well experimental results. Moreover, it gets the advantage over the classic LSA retrieval algorithm in precision and operational efficiency.)

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.

微电网能量管理系统，能量优化，环境的预测(Micro-grid energy management system, energy optimization, environmental prediction)

WindowsXP Windows2000 WindowsNT 平台， 可以使用的UML开发工具教程(Windows XP Windows 2000 Windows NT platform, UML can be used in the development of tools and guidance)

matlab的维纳滤波器源码，内容较少，但滤波器的功能都有！(the source code of Wiener filter)

在MATLAB环境下，对相位图和滤波后的图片进行三维展示。(In the MATLAB environment, the phase diagram and filtering after pictures for 3 d display.)