Archive

PCA降维实例，使用数据集，数据集衡量美国329个城市生活质量的9个指标：气候、住房、健康、犯罪率、交通、教育、艺术、娱乐和经济。对于各指标，越高表示越好，如高的犯罪指标表示低的犯罪率。(PCA dimensionality reduction example uses data sets and data sets to measure 9 indicators of quality of life in 329 cities: climate, housing, health, crime rate, transportation, education, art, entertainment and economy. For each index, the higher the better, as the high crime indicator indicates a low rate of crime.)

Simple code for Spectral analysis of speech signal.

intel的ipp性能库sample code，提供了加速的静态图象处理示例，充分显示了ipp在多核平台下的性能优势(intel performance of ipp library sample code, provided the acceleration of static image processing example, it shows that in multi-core platform ipp performance advantages)

《精通MATLAB最优化计算》优化的工具箱和自编函数实现双管齐下 算法原理→流程→编程→举例一杆到底 60余个程序，100余个实例一一精编精讲(" Mastering MATLAB optimization calculation optimization toolbox and self-function of the two-pronged algorithm principle → process → Programming → example one in the end more than 60 months of the program, more than 100 instances of eleven for fine Jingjiang)

将MATLAB中绘制的二维曲面导出为stp格式，以在机械软件中打开进行操作(export a surface plotted in matlab and create a stp file, so that the surface can be opened in solidworks, proE, etc)

介绍了SVM的基础知识，包括：SVM入门（一）SVM简介；SVM入门（二）线性分类器part1；SVM入门（三）线性分类器part2；SVM入门（四）线性分类器的求解—问题的描述part1；SVM入门（五）线性分类器的求解—问题的描述part2等。(Describes the basics of SVM, including: SVM Getting Started (1) SVM Introduction SVM Getting Started (2) linear classifier part1 SVM Getting Started (3) linear classifier part2 SVM entry (d) the solution of a linear classifier- description of the problem part1 SVM Getting Started (5) the solution of the linear classifier- description of the problem part2 and so on.)

实现好的基于PCA的人脸识别系统，程序非常有参考价值，MATLAB编写，内附使用说明。(To achieve a good face recognition system based on PCA, the program very useful, MATLAB written instructions included.)

二端口网络，matlab微波实验仿真技术(Two-port network)

分布式压缩感知代码，初学者试用，完整程序(Distributed compressed sensing code, for beginners to try and complete the program)

matlab数据处理程序，在处理试验数据时很有用(matlab data processing procedures, the treatment is useful when experimental data)