MATLAB-getrect

产生不同增益因子下的锐利信道十条误码率曲线，信噪比范围0~30DB(Under different gain factor of sharp curve, the article channel ber SNR range 0 ~ 30DB)

指纹识别源代码。思路完全是按照文件夹中网页里介绍的方法，即提取指纹中的分叉点和端点的位置作为指纹的特征值。由于今天太忙，对图像的预处理作的很失败，程序会提取出很多伪点，而指纹轮廓也没有想出办法过滤。汗，你看看能不能参考把。 三个m文件，fd.m提取指纹中的分叉点，fd2.m提取指纹中的端点，Cpoint.m则是前两个文件运行中需要调用的掩模函数。(fingerprint identification code. Thinking is entirely in accordance with the folder on the website Lane, that the fingerprints of the bifurcation point and endpoint position as a fingerprint eigenvalues. As today are too busy, the image preprocessing for the failure, the program will extract a lot of pseudo-point, and the fingerprint profile nor find a way to filter. Khan, you can look at the information put. 3 m documents, fingerprints fd.m the bifurcation point, fd2.m fingerprints of endpoint, Cpoint.m are two documents before the operation need to call the mask function.)

这是matlab 的一个工具包，里面包含了图像和视屏的工具(Piotr s Image & Video Matlab Toolbox， SketchTokens/toolbox/ should have channels, classify, filters, images, matlab)

Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy logic toolbox of MATLAB, the system has been simulated. The simulation results show that the Fuzzy PI-Smith system has faster response speed and smaller overshoot than the traditional PI-Smith system.The explicit formulation of Fuzzy PI-Smith system is derived, and it lay the basis for the practical application of control algorithms.

This is just a sample code

matlab常用的模糊聚类程序，并附有演示程序(matlab fuzzy clustering procedure used, together with demo program)

说明：  matlab中很实用的源代码1，例图图形转换、非线性变换等等(Practical source code of MATLAB)

HHT变换的EMD方法和希尔伯特谱的一些源程序，以及一些实例数据(HHT transform the EMD method and Hilbert spectrum of some of the source, and some examples of data)

雷达面阵的波束形成及三维的波束指向图 Beamforming radar plane and three-dimensional array beam pointing Figure

Constrained K-means Clustering with Background Knowledge算法实现(Constrained K-means Clustering with Background Knowledge algorithm)