神经网络变量筛选—基于BP的神经网络变量筛选

基于最小方差准则（LMS）的自适应波束形成算法，matlab语言仿真示例(Based on the criteria of minimum variance adaptive beamforming algorithm)

探测信号为单个信号的被动时反通信MATLAB仿真，可以直接把探测信号扩展成LFM。(Passive detection signal when a single signal for the anti-communications MATLAB simulation, can be directly extended to detect signals into LFM.)

非常有用的卫星轨道参数计算模块,很方便进行轨道特性分析。(This is a very useful toolbox for satellite s trajectory parameter computation )

基于MATLAB与RECURDYN联合仿真的履带车辆模型(MATLAB and RECURDYN joint simulation model based on the tracked vehicle)

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.)

FFT信号分析模型，实时显示FFT分析结果(FFT signal analysis model, real-time FFT analysis results show)

源码程序,用MATLAB.m文件实现QPSK信号的调制与解调(Source program to achieve MATLAB.m document QPSK signal modulation and demodulation)

matlab 实现对整篇文章进行huffman压缩编码的源程序(matlab achieve whole article to the source huffman coding)

implementing the echoing application in matlab

第05讲 MATLAB语言应用-数字图像处理课件-matlab语言基础，很适合做图像如理入门使用系列(Digital image processing based on matlab language courseware), very suitable for image such as introduction to use series)