Pattern-Recognition-

MATLAB的希尔伯特黄变换，其中包括了emd(Hilbert Huang Transform MATLAB, including emd)

matlab 实验数据处理程序 用于处理数据线性度 等等(matlab for experimental data processing data process linearity, etc.)

these files deals with the cognitive radio>>>types of detection and spectrum sensing

oqpsk调制与解调，包括星座图，误码率，awgn加入信道后的系统性能仿真(OQPSK modulation and demodulation, including constellation diagram, bit error rate, AWGN after the addition of the system performance simulation)

MATLAB信号分析，内涵各种信号分析的源代码(MATLAB signal analysis, meaning the source code for a variety of signal analysis)

Griewang and Michalewicz test bed for Genetic Algorithm Optimization Problems. This is a standard Test bed used by several authors to test the efficiency of their proposed algorithms.

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.)

说明：  实现多层小波分解系数的全部保留，文件中有详细说明(wavelet decomposition of multiple coefficients of all the reservations, documents are described in detail)

基本蚁群算法解TSP问题[matlab程序，大家参考(basic ACO for TSP [Matlab procedures, reference)

SUSAN算法，包括去除伪角点的方法，重心，非极大值抑制(SUSAN algorithm, including the method of removing false corners)