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《通信系统仿真原理与无线应用》系统地介绍通信系统的设计、分析和仿真方法，还提供了大量极具参考价值的仿真实例。《通信系统仿真原理与无线应用》的全部仿真程序都是采用MATLAB编写的。这不仅方便读者理解仿真的实现过程，还允许读者修改或使用这些代码段来进行自己的仿真开发。章后提供了大量的参考文献和经过精心设计的各类练习题，方便教学。此为中文翻译本。(Principles of Communication Systems Simulation with Wireless Applications is a hands-on, example-rich guide to simulating wireless communications systems. The first book to present complete MATLAB simulation models for predicting the impact of design changes, it treats every aspect of simulation: sampling, signal and system representations, filters, noise, Monte Carlo simulation, postprocessing, nonlinear and time-varying systems, waveform and discrete channels, co-channel interference, and more. It includes four detailed case studies.)

时间发生时间频域编码与地形图显示时间发生时间频域编码与地形图显示(Frequency domain code)

Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L2 norm).

truetime 的例子（I),介绍联网，使用truetime2.0(truetime example (I), describes networking, use truetime2.0)

chirpz变换 chirpz变换 chirpz变换 (chirpz transform chirpz transform chirpz transform)

基于图和半监督的学习方法 graph-based and semi-supervised learnign(graph-based and semi-supervised learning)

说明：  简单的mean-shift 程序 matlab环境，方便理解。(Simple mean-shift program matlab environment for easy understanding.)

matlab环境下的复杂网络小世界模型，M文件，可画图(small world in Matlab)

Matlab搭的双馈感应式风力发电系统机侧变流器、网侧变流器的控制模型，此模型中参数已给定，经调试后能运行。(Matlab ride doubly-fed induction wind power system with machine-side converter, the grid-side converter control model, the model parameters have been given, by the debugger to run.)

given a frame sequence from a fixed camera, detecting all the foreground objects : the detection of the foreground objects is obtained by the difference between the current frame and an image of the scene’s static background