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采用M语言对一正弦信号实现基于卡尔曼滤波器的PID控制(PID control based on kalman filter)

通信系统的防真，用matlab编写，ＱＰＳＫ(communication system simulation by matlab,ＱＰＳＫ)

这篇文章讲述基于相空间重构的模糊集用于复时间序列的暂态模式。文章详细说明关于时间序列的构建、说明暂态识别的概念、原理，优化函数的选择和优化结果等均有很好的步骤和完整实验结果。(This article describes the phase space reconstruction based on fuzzy sets for the transient model complex time series. Article details the construction of time series to illustrate the concept of transient identification, theory, optimal function of the selection and optimization results of the steps are very good and complete results.)

说明：  实现多个传感器采集的多通道数据的数据互相关，进行数据融合降维(The data cross-correlation of multi-channel data collected by multiple sensors is realized, and the dimension reduction of data fusion is carried out.)

matlab下的eeg处理程序库,例程丰富,讲解清晰,医学图像图形处理必备哦(EEG under treatment matlab libraries, routines rich, on a clear, medical image and graphics must deal with Oh)

粒子滤波matlab工具箱，用于学习粒子滤波(particle filter matlab toolbox,it s helpful to study particle filtering.)

《MATLAB7.0编程基础》书中图形的源代码，这是第5章的集合，比较全面，很有用，是很好的参考。(" Matlab7.0 programming foundation graphics source code in the book, which is a collection of Chapter 5, more comprehensive, useful, is a good reference.)

应用MATLAB实现噪声滤波器。一段有尖锐噪声的音频信号去噪。( filter)

关于恒速风电机机组的matlab仿真，可以了解恒速风电机组的相关运行特性(modeling and simulation of Constant Speed Wind Power Unit This simulation gives an example of Modeling and simulation of Constant Speed Wind Power (CSWP) coupled with wind turbine. Latest researches and developments which have been published in imminent journals, you can get it if you are interested in it. Because of the advantages of the CSWP over other generators it is being used for most of the wind applications. Various researches have been done in modelling and simulation field of CSWP coupled with wind turbine. This simulation visualise the researches in the area of study of CSWP, its modelling, simulation and performance analysis of CSWP coupled with wind turbine. )

清华大学张旭东老师现代信号处理第二次matlab习题(The second matlab exercise in modern signal processing by Xudong Zhang, Tsinghua univ.)