project

该程序实现了mimo的带有相关性的Rayleigh信道模型(Mimo implementation of the program associated with the Rayleigh channel model)

说明：  matlab仿真例程，是支持向量机工具箱（matlab），可用于模式分类，模式识别 Nu_SVC二类分类算法(matlab simulation routines, support vector machine toolbox (matlab), can be used for pattern classification, pattern recognition Nu_SVC second-class Classification Algorithm)

Some features and classification function

Chen s超混沌的实现，共产生了4个混沌系列并且画出了吸引子(Chen s super chaotic implementation produced a total of four series and depicts the chaos attractor)

Wind Turbine Crowbar Reliability Related on Electric Charge Accumulation/Discharge

BER estimation in MPSK systems

it is a implementation of a chaotic map.the chaotic map nam is logistic map

常规PID、Smith预估补偿、改进的Smith、双控制器控制和内模的Simulink仿真图(Conventional PID, Smith, forecast compensation, the improved Smith, double control and internal model controller of Simulink simulation diagram )

time windows usage example

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)