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examples ODE realised with matlab

说明：  此程序为MATLAB实现的现代信号处理中几种常用的谐波恢复方法，所附文档中还有理论及算法介绍(Pisarenko，ARMA)实验步骤及实验结果(MATLAB this procedure for the realization of modern signal processing used several methods to restore the harmonics, the accompanying documentation and algorithm theory also introduced (Pisarenko, ARMA) experimental procedures and experimental results)

说明：  神经网络预测,根据已有的数据趋势对未来做出预测(predict of neural network)

Introduction Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent simulation tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate performance of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge.

本代码给出了LTE 2天线,4天线发送分集以及接收端解分集的处理过程.(This Code give a way to process 2 and 4 antaners Transport Divation in LTE system.)

用Mathematica写的一个基于分水岭的图像分割算法，过程很详细。(Using Mathematica write a watershed-based image segmentation algorithm, the process in great detail.)

matlab 学习书籍，参考编成。给初学者提供良好的帮助。(Matlab study books, reference organization. Beginners to provide good help.)

voltage stability toolbox for power system voltage stability analysis

能够进行简单的字母识别，基于matlab实现(Can be a simple letter recognition, based on matlab implementation)

针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)