xindian-xiaobo

支持向量机，matlab程序，适用于初学者(Support vector machine, matlab program for beginners)

利用MATLAB实现fft的MATLAB代码以及解释和仿真结果(Fft in MATLAB using MATLAB code as well as the realization of the interpretation and simulation results)

本文基于matlab开发环境，利用鱼群算法对30节点的电网进行无功优化(Reactive Power Optimization Based on fish swarm algorithm in 30 node grid)

M e t a h e u r i s t i c 算法的实例，(M etaheuristic algorithm instance,)

3个计算信道容量的源码集合，由易到难，适合初学者自学，使用迭代算法(3 Calculation of channel capacity of the source collection of easy to difficult, suitable for beginners self-study, using an iterative algorithm)

this code is used to implement FMT Filter bank trancsiver in matlab. the filter coefficient can be changed also the number of subcarriers.

很好的风速模型，对风力发电的出力进行研究有很大帮助。(Good wind model, the output of wind power research helps a lot.)

OFDM系统的整个流程，用MATLAB编写的程序(The whole process of OFDM system, using MATLAB program )

Facial image registration important papers

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.)