ZF_8_8.m

雷达交叉定位精度分析，CRB界确定，寻求最远定位距离！(Radar cross positioning accuracy analysis, CRB sector determined to seek the farthest distance positioning!)

用MATLAB实现的BPSK,DELAY,OFDM,QPSK.仿真技术。来自MATLAB爱好者论坛。(Using MATLAB implementation BPSK, DELAY, OFDM, QPSK. Simulation technology. From the MATLAB lovers forum.)

EARTH MOVER DISTANCE CODE

一种改进的自适应权值立体匹配算法，用于图像处理等(An improved adaptive weight stereo matching algorithm for image processing, etc.)

说明：  Turbo code primer用于通信系统里编码译码，误码率小，但复杂度比较高。(Turbo code primer is used for coding and decoding in communication systems, with low bit error rate but high complexity.)

lms alogorithm used for nois cancellation in sinosidal siganl further we can also input the speech signal for output

Rebel工具包matlab工具箱,对学习matlab很有帮助(Rebel kit matlab toolbox matlab helpful for learning)

Plot arrow in Matlab

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.)

adding EEG labels to the psd values