UWB-antenna-for-time-domain-analysis

利用最小二乘法进行拟合多元非线性方程，微分方程组数值解方法，最小均方误差等算法的MSE的计算。( Multivariate least squares fitting method of nonlinear equations, Numerical solution of differential equations method, Minimum mean square error MSE calculation algorithm.)

说明：  模拟退火算法Matlab程序,非常有用。。。(MATLAB)

说明：  自动随机优化超声波感器位置，达到信号测量最优(Optimal sensor location)

双电机伺服系统的滑模控制，运行 jieh 可以看到与PID相比的控制效果，运行需要一点时间，2分钟左右，请耐心等待。(Sliding Mode Control of dual-motor servo system)

基于matlab的PIV算法，简单易懂，专为初学者编写。(A Simple and easy to understand PIV algorithm, designed for beginners.)

Matlab code for Create a domain x for the mixture

利用信道容量迭代算法，求下列转移概率矩阵所对应信道的容量和达到容量时的输入概率(Use of channel capacity iterative algorithm, and the following transition probability matrix corresponding to the probability of reaching capacity when capacity input channel and)

matlab三相四线制的仿真模型，通过实验据对可靠使用，很好的资料(three-phase four-wire system matlab simulation model using experimental According to a reliable, good information)

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

this code simulates phase array antena in matlab