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一个用maltab程序语言实现的水准网平差程序，使用于测绘人员(Maltab a programming language used to achieve the standard of network adjustment procedure, used in surveying and mapping staff)

一种简单的估计信号载波频率的matlab程序，适用于初始粗略估计。(A simple estimate of the carrier frequency signal matlab procedures applicable to the initial rough estimate.)

DK-SVD，CVPR文章 Discriminative K-SVD dictionary learning for face recognition 源码，效果好于原始SRC(DK-SVD，the source code of CVPR paper Discriminative K-SVD dictionary learning for face recognition, its has a better performance than the classical SRC classifier )

These probes are for use with the Simscape multi-domain physical modeling tools (Simscape, SimHydraulics and SimElectronics). The ssc_Probes.slx library file contains probes for viewing the through and across variable for each domain. The ssc_dc_motor.slx model file is an example of how to use. See Help block for additional usage notes.

合成孔径雷达（SAR)目标成像仿真，BP神经网络用于函数拟合与模式识别，计算多重分形非趋势波动分析，使用混沌与分形分析的例程，具有丰富的参数选项。( Synthetic Aperture Radar (SAR) imaging simulation target, BP neural network function fitting and pattern recognition, Calculate the multifractal trend fluctuation analysis, Use Chaos and fractal analysis routines, It has a wealth of parameter options.)

说明：  严格的说，Matlab并不是一种计算机语言，因为用它编写出来的程序并不能脱离Matlab环境而执行，但从功能上说，Matlab已经完全具备了计算机语言的结构和性能，因此我们也习惯的称之为Matlab语言。(Strictly speaking, Matlab is not a computer language, because it is written out using the procedure and not from the Matlab environment, the execution, but functions on that, Matlab has all have the structure and properties of computer languages, so we used the called Matlab language.)

说明：  模式识别matlab工具箱。一般常见的分类方法都包含在内，还有svm分类。(Pattern recognition matlab toolbox. General common classification methods are included, as well as svm classification.)

PID controller design

某家电企业在全国二线城市的年销售量Y(单位：万台)与该城市人口数X1(单位:万人)以及该市人均月收入X2(单位:元)之间的关系，在某年对15个城市作了调查，得上述各量的观测值（见数据表data1.txt）(A household electrical appliance enterprises in the country in sales of second-tier cities, Y (unit: million units) and the urban population, the number of X1 (unit: million) and the city' s per capita monthly income X2 (unit: yuan) between, in a particular year made a survey of 15 cities, was the amount of the above observations (see data sheet data1.txt))

by this code you can distinguish circle from diamond in a 4*4 table... this code is easy and understandable enjoy it...