cueselectiontoolbox111004

dtc直接转矩控制 开关选择模型 运动控制(the dtc direct torque control switch selection model motion control)

Time vector for the downlink data s where the power vector is a finite state space model.

求解优化问题中L1范数正则化函数和全变分正则化函数的流行算法(Sparse Reconstruction by Separable Approximation)

HYSTERESIS PLOTTING FROM MATLAB Example case: a very simple case with MATLAB as the graphical output interface. WARNING * This case only works if you use the Compaq/Intel Fortran Compiler.

这是用牛顿迭代法求解的关于多元二次非线性方程组的MATLAB程序，正确无误，本人在使用，无误(This is about multiple quadratic nonlinear equations MATLAB program Newton iterative method, and correct, I would use, correct)

用于将不规则的数据分类 整理 实用性很强 适用于各种经济模型(Irregular data is used to sort out are very practical for a variety of economic models)

IIR Filter Implemented in Matlab

多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values ​ ​ of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)

mimo using alamouti code for 2 tx and 2rx using maximum likelihood detecor

关于二维Capon算法的研究，对于学习空间谱估计的同学有参考价值(On the two-dimensional Capon algorithm for learning spatial spectral estimation of the students have reference value)