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说明：  移动通信系统 信道，接收机等的MATLAB源代码，较详细(mobile communications MATLAB demo)

matlab的svm程序，很好的，效果不错的饿(The svm matlab program, good, good results of the hungry)

关于图像恢复的程序。输入恢复类型、待恢复图像的相关文件（程序中具体列出）和图像数量即可恢复出原图像和恢复情况评估。(With regard to the procedures for image restoration. Enter the recovery type, you can restore the image file to be restored (specifically listed in the program) and the number of images of the original image and restore the situation to assess.)

生成一个好的Turbo码，并且用MAP方法进行解码( Generate a turbo code, and decode the code iteratively using MAP detectors)

face recognition based on statistical moments

根据观测值与状态量，利用卡尔曼滤波算法对未来状态变量进行状态估计(According to the observation and state variables, Calman filter algorithm is used to estimate the state variables in the future.)

说明：  这个例子展示了一种高压电池，类似于混合动力汽车中使用的电池。该模型采用真实的直流链路电流分布，该电流分布来源于动态驾驶循环。总模拟时间为3600秒。此示例演示如何使用Simscape对铅酸蓄电池单元建模 实现等效电路元件非线性方程的语言。这样，与完全在Simulink中建模不同，模型组件和定义物理方程之间的连接更容易理解。有关定义方程及其验证，请参见Jackey，R.“电气系统部件选择的简单有效铅酸蓄电池建模过程”，SAE世界大会与展览会，2007年4月，参考文献2007-01-0778。(This example shows how to model a lead-acid battery cell using the Simscape language to implement the nonlinear equations of the equivalent circuit components. In this way, as opposed to modeling entirely in Simulink, the connection between model components and the defining physical equations is more easily understood. For the defining equations and their validation, see Jackey, R. "A Simple, Effective Lead-Acid Battery Modeling Process for Electrical System Component Selection", SAE World Congress & Exhibition, April 2007, ref. 2007-01-0778.)

This program is for image segmentation using Expectation maximum

一种产生M序列的代码程序。基于MATLAB编程(That produces the M-sequence code procedures. Based on MATLAB Programming)

一种kriging成熟的建模工具箱，通过回归函数和预测函数，来对实际的系统进行建模和预测。( a kriging toolbox to construct a APPXIMATON MODEL)