Root-MUSIC_MATLAB

BER for OFDM using BPSK with 52 subcarriers using 64 IFFT.

QPSK SIMULINK调制解调仿真绝对能运行(Modulation and Demodulation QPSK SIMULINK)

PSK调制与解调，通过MATLAB仿真实现其PSK功能(PSK modulation and demodulation )

temperature from lm92 to matlab

基于matlab的PSO软件包 PSOt为PSO的工具箱，该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(PSO soft for matlab )

迹线法实现轮轨接触，是轮轨接触力及垂向力的基础内容，需要轮轨接触角及型面数据作为初始 内容(Trace method to achieve the wheel-rail contact, is wheel-rail contact force and the vertical force base, you need a wheel-rail contact angle and surface data as the initial content type)

MFSK调制，用MATLAB实现MFSK调制。(MFSK modulation, MFSK modulation using MATLAB to achieve.)

周期信号的合成、分解与Gibbs现象.ppt

说明：  有源滤波器（APF）matlab_simulink仿真图的子图之一。算法是DQ0 算法。(active filter (APF) matlab_simulink simulation map one of the graph. The algorithm is DQ0 algorithm.)

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.)