tes

MLRE算法，选取最优K近邻，是识别率达到更高(MLRE algorithm select the best K-nearest neighbor, is to achieve a higher recognition rate)

cdma2000的上行链路的仿真，包括编码，发送，信道，解码，rake接收等功能，完全是matlab仿真。(cdma2000 uplink simulation, including encoding, sending, letters, decoding, rake receiver functions is completely Matlab simulation.)

模态参数辨识方法，主要是利用时域数据进行时域模态参数辨识(time modal identification method)

用形态学中骨骼化方法实现了图像细化，为后续工作如特征点提取提供了良好的素材(Method with skeletal morphology achieved thinning, for the follow-up, such as feature extraction provides a good material)

脑电想象运动的csp特征提取分类算法 matlab平台，通过投票可以直接扩展到多类(Imagine the movement csp EEG feature extraction classification algorithm matlab platform, through the vote can be directly extended to multiple classes)

Clark变换与Inv_Clark变换，引入输入信号进过测试能够实现功能(Clark and Inv_Clark)

在matlab下实现sift描述符，并有测试程序(sift descriptor using matlab，and test procedures are provided)

通过对RSSI测距模型进行分析， 并提出一种针对室内环境的参数修正方案。 通过 自行研发的传感器节点，上进行验证分析，实验表明，采用环境参数修正方案后， 明显提高了测距的精度。(We studied andanalyzed RSSI—based distance estimated model, and provide aparameter calibration method which in specific to indoor environmental applications．Experience on our prototype node)

本程序画混沌的Chen系统,程序简单切运算速度快.(This procedure painting chaotic Chen system, the program simply cut operation is fast.)

说明：  系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法，以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用，讲解深入浅出，各章均有相应的例题，并提供了大量用MATLAB/Simulink实现的仿真实例(The basic concepts, working principles, and control algorithms of neural network control, fuzzy logic control and model predictive control are systematically discussed, as well as the methods to implement them using MATLAB language, MATLAB toolbox functions and Simulink. The book draws advanced and practical materials, explains profound theories in simple language, each chapter has corresponding example questions, and provides a large number of simulation examples realized by MATLAB/Simulink)