handselectcontrolpoints

GTRACK Track mouse position and show coordinates in figure title. Once GTRACK is active the mouse position is constantly tracked and printed on the current figure title. A left-click will print the coordinates in the command line and store them. Clicking the mouse right button deactivates GTRACK.

此程序用提升法实现第二代小波变换，分析对象是wbarb(Use this procedure to upgrade laws to achieve the second-generation wavelet transform, the analysis is wbarb)

PAPR reduction for OFDM system with SLM technique

在训练序列方法中，介绍了时域结构不同的三种算法，比较了它 们的估计性能。在循环前缀算法这一节中，提出了一种基于循环前缀的改进算法，(No Ordinary Blanket This is my blanket. My blanket is not just an ordinary blanket. My blanket can change into different things. If I tie it around my neck, my blanket can change into a cape. “I am Superman!” If I drape it between two chairs, my blanket can change into a fort. “I am the captain of my fort!” If I put it over my head, my blanket can change into a ghost)

本实验在对 MUSIC 算法进行分析的基础上 ,设计了 MUSIC 算法的仿真程序 ,对不同情况下该算法的性能进行仿真分析(In this study, the MUSIC algorithm based on the analysis, design of the MUSIC algorithm simulation program, under different circumstances the performance of the algorithm simulation and analysis)

10－channel polyphase filter的simulink程序(10-channel polyphase filter the simulink program)

在matlab环境下编程实现了应用模糊控制理论整定PID控制器参数，并对已知模型进行阶跃响应仿真实验。(Matlab programming environment in the realization of the control theory of fuzzy PID controller tuning parameters, known model and step response simulation.)

很详细，具体的说明了matlab软件的入门和基础，希望对大家有帮助(Very detailed and specific description of the entry and basic matlab software, we hope to help)

matlab绘图局部放大源码，看清所要关心的部分(matlab drawing enlarged source, see the part to be concerned about)

说明：  基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出 的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数 值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。(Density-based clustering algorithm because of its strong resistance to noise and can find clusters of arbitrary shape, etc., in the cluster analysis is widely used, the proposed clustering algorithm based on the relative density, in succession on the basis of the above-mentioned advantages. Effectively solve the density-based clustering results on the parameter value is too sensitive, difficult to set the parameter value to high-density clusters of buildings connected to the low-density clusters are completely contained and other issues.)