Optimum-Element-Spacings-for-Yagi-Uda-Arrays

永磁同步电机加减速控制，电控部分，飞轮储能(Permanent magnet synchronous motor rotor acceleration and deceleration control)

说明：  用于速度控制的联合仿真可实现对四轮小车的不换控制。(The joint simulation for speed control can realize the non-replacement control of four-wheeled car.)

Advanced Engineering Mathematics With Matlab

说明：  代码来自书籍：振动力学基础与MATLAB应用 振动力学案例：单自由度强迫振动(Vibration mechanics case: single degree of freedom forced vibration)

支持向量机(SVM)实现的分类算法源码[matlab](Support Vector Machine (SVM) classification algorithm realize the source [matlab])

主要是基于matlab实现了对字母的识别，可以当毕业设计用(Matlab realize is mainly based on the identification of the letters can be used when the Graduation Project)

说明：  通信原理中的数字调制方式与解调，包括了最常用的ask,psk,fsk的调制以及多种解调方式(the modulation and demodulation demo of ask, fsk ,dpsk and psk)

To support wireless communication : MIMO

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)

利用AR模型进行建模 可以仿真信号 希望对大家有用(脌没脫脙AR脛 拢 脨脥 陆 酶脨脨 陆 篓 脛 拢 驴 脡脪脭 脗脮忙脨脜 潞 脜 脧 拢 脥没 露 脭)