Rayleigh_Doppler_multiPath

这个是用EM开发的单人乒乓球源码，有需要的可以下来看看哦~~~！(This is developed by EM tennis single source, there is a need can look down Oh ~!)

扩散系统之浓度分布的装置。管中储放静止液体B，高度为L=10 ㎝，放置于充满A 气体的 环境中。假设与B 液体接触面之浓度为3 C 0 0.01mol m A = ，且此浓度不随时间改变 而改变，即在操作时间内( h = 10天)维持定值。气体A 在液体B 中之扩散系数为 D m s AB = 2×10− 9 2 。试决定以下两种情况下，气体A溶于液体B中之流通量(flux)。 (a) A 与B 不发生反应； (b) A 与B 发生以下之反应 A+ B→C ， A A − r = kC 其反应速率常数k = 2×10− 7 s− 1。 (Diffusion system of concentration reference device shown in Figure 3. Tube in the store still liquid B, L = 10 cm height, placed in full A gas environment. Assuming the contact surface of the liquid with the B concentration of 3 C 0 0.01mol m A =, and this concentration does not change with time and change, that is, the operating time (h = 10 days) to maintain constant. Gas A in liquid B, the diffusion coefficient D ms AB = 2 × 10-9 2. Decided the following two test cases, the gas dissolved in liquid B in the A liquid (flux). (A) A and B do not react (b) A and B of the following reaction occurs A+ B → C, AA- r = kC, the reaction rate constant k = 2 × 10-7 s-1.)

说明：  模型阶次的辨识,各种模型参数辨识方法一般需要假定模型的结构已知，实际上在多数情况下这是不现实的。当没有模型结构的先验知识时，需要利用系统的输入输出数据来确定模型的结构。(Identification of various model parameters generally need to assume that the model structure is known, in fact, in most cases this is unrealistic. When no prior knowledge of model structure, the need to use the system input and output data to determine the model structure.)

说明：  matlab信号处理宝典，对通信学习很有用，可以下下来看看(Collection matlab signal processing, learning useful for communication, you can look down under)

基于MATLAB系统simulink中的交叉耦合控制算法的仿真与应用。(The cross coupling control system based on MATLAB simulink simulation and application of the algorithm.)

说明：  康奈尔大学开发的基于matlab的有限元计算程序，感兴趣的可以看看，有gui 界面，相关的教程可以登录下面的网站https://confluence.cornell.edu/display/SIMULATION/MATLAB+Learning+Modules(Matlab-based Cornell University developed the finite element program, interested can see, there are gui interface, related tutorials can log the following Web site https:// confluence.cornell.edu/display/SIMULATION/MATLAB+ Learning+ Modules)

量子遗传算法用于求解非线性方程组，实用好用(Quantum Genetic Algorithm)

Matlab M-files For engineering

Hopfield plc programmer

采用L-M优化算法用以训练BP神经网络，使其能够拟合某一附加有白噪声的正弦样本数据。设计一个三层BP神经网络，其网络的隐含层神经元的激励函数为双曲正切型，输出层各神经元的激励函数为线性函数，隐含层有6个神经元(LM optimization algorithm used to train BP neural network to enable it to fit a white noise, sine additional sample data. Design a three BP neural network, its network of hidden layer neuron activation function of hyperbolic tangent type for the output layer activation function of each neuron is a linear function of the hidden layer has 6 neurons)