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POWER SYSTEM ANALYSIS BY HADI TOOLBOX UNDER MATLAB

The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)

介绍二维到达角估计的ESPRIT算法原理及其仿真流程(Introduction of two-dimensional ESPRIT DOA estimation algorithm and simulation flow)

说明：   系统模型转换(System Model Conversions)

用二维热传导分数步长法求解二维热传导方程，其中解转化来的方程用的是追赶法,分别用了ADI,LOD,对称LOD方法进行求解(Solving the two-dimensional heat conduction equation with two-dimensional heat conduction fractional step method, Solving the two-dimensional heat conduction equation with two-dimensional heat conduction fractional step method, which transformed to the equation solution is to catch up with the law, respectively, with the ADI, LOD, LOD method for solving symmetric)

matlab环境下的delete函数的用法，以及colormap函数的用法简介(the use of the function delete in matlab)

电力系统分析（英文）书的附带matlab潮流与稳定分析源码，对电力系统入门的学生具有很好的参考价值(Trends and stability analysis with matlab source power system analysis (in English) of the book, Getting the power system for students with a good reference value)

说明：  数字信号处理，语音信号的时频分析及滤波恢复 ； 对语音信号进行采样、滤波、加噪等处理，大作业优秀作品(Digital signal processing, speech signal time-frequency analysis and filter recovery; Sample, filter and add noise to speech signal, excellent works of large-scale operation)

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.)

Support Vector Machines for classfaction and regression (Support Vector Machines for classfaction and regression)