BeamVibCon

sep and leach routing protocols in wireless sensor networks is a typical routing protocol

说明：  Compression and decompression VQ=vector quantization for image.

code describing Bayes theorem for sensor data fusion

月球软着陆控制系统综合仿真及分析,仿真了实际所需要的环境，简单，明了。(Lunar soft landing control system simulation and analysis, simulation of the actual needs of the environment, simple and clear.)

蔓延期权的蒙特卡洛模拟 这个程序很简洁的实现了这一类期权的模拟，和大家一同分享(monte carlo simulation for spread option)

模糊聚类分析,常规的聚类方法，可以使用于经济、生物、社会调研等各方面分类(fuzzy clustering)

先进PID控制Matlab仿真(刘金琨编)第4版-仿真程序 全书分17章，包括基本的PID控制、PID控制器的整定、时滞系统PID控制、基于微分器的PID控制、基于观测器的PID控制、自抗扰控制器及其PID控制、PD鲁棒自适应控制、专家PID控制和模糊PD控制、神经网络PID控制、基于差分进化的PID控制、伺服系统PID控制、迭代学PID控制、挠性及奇异摄动系统的PD控制、机械PID控制，以及其他控制方法的设计。每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。(Advanced PID Control matlab simulation (edited by Liu Jinqi) - 4th Edition - simulation program The book is divided into 17 chapters, including basic PID control, tuning of PID controller, PID control of time-delay system, PID control based on differentiator, PID control based on observer, ADRC and its PID control, PD robust adaptive control, expert PID control and fuzzy PD control, neural network PID control, PID control based on differential evolution, PID control of servo system and iterative PID control. The design of PD control, mechanical PID control and other control methods for flexible and singular perturbation systems. Each method gives the algorithm derivation, case analysis and corresponding MATLAB simulation design program.)

an elaborate discription of the wisahrt distrbution

说明：  语音识别全过程的matlab程序，运行测试能出结果，希望对你们有用，实在没点数才把自己压箱底的东西拿出来,呜呜(The whole process of speech recognition matlab program, run the test to the result, I hope helpful for you, only then it did not point out what their own bottom pressure, the hum)

说明：  文章简要介绍了模糊控制的概念和特点，并对模糊控制的原理作了说明，较详细的介绍了模糊控制的现状，包括模糊PID控制、自适应模糊控制、神经模糊控制、遗传算法优化的模糊控制、专家模糊控制等，最后对模糊控制的发展作了展望。(This paper briefly introduces the concept and characteristics of fuzzy control, and fuzzy control principle is illustrated in more detail the status of the fuzzy control including fuzzy PID control, adaptive fuzzy control, neural fuzzy control, genetic algorithm optimization of fuzzy control, expert fuzzy control, the last of the fuzzy control prospects of development.)