15883875matlab-communication

Matlab入门到精通的必备知识，希望对大家有用，谢谢！(Matlab Introduction to Mastery of the essential knowledge, useful for all, thank you!)

Matlab通信系统的建模仿真 实验一 模拟通信系统的建模仿真(matlab)

齿轮系统MATLAB/SIMULINK仿真图，本人能力有限，希望能够对其他人有所帮助。(MATLAB/SIMULINK simulation of gear system, I limited capacity, hoping to help others.)

说明：  模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)

12脉波整流电路MATLAB Simulink仿真及谐波分析(MATLAB Simulink simulation and harmonic analysis of 12 pulse rectifier circuit)

quantizers1 by matlab

这是基于滑膜观测器的永磁同步电机的无速度传感器的的模型，改模型能够切换到滑膜控制的速度估计。(This is a permanent magnet synchronous motor based on synovial observer without speed sensor model, change model can switch to the synovial control speed estimation)

一个简单的记账软件，重点在于使用c++与MATLAB混编，使用MATLAB做图，对记账数据进行分析(A simple accounting software, with emphasis on the use of c++ and MATLAB mixed, use MATLAB to do maps, analysis of accounting data)

双圆孔弗朗合肥衍射仿真，MATLAB,远场衍射。(DOUBLE FRAUHOFER )

递推最小二乘法和递推阻尼最小二乘法仿真，系统模型如下： y(t) - 1.6 * y(t - 1) + 0.7 *y (t - 2) = u(t - 1) + 5.5 * u(t – 2) + e(t)，试用递推最小二乘法和递推阻尼最小二乘法进行参数识别，并进行比较 (Damped recursive least squares method and recursive least squares method simulation, the system model is as follows: y (t)- 1.6* y (t- 1)+ 0.7* y (t- 2) = u (t- 1)+ 5.5* u (t- 2)+ e (t), the trial damped recursive least squares method and recursive least squares method for parameter identification, and comparison)