fit_ellipse.m

模糊控制课程作业，针对给定的系统（传递函数）搭建了Simulink平台，对比了模糊控制与PID控制的效果，可通过选取不同的模糊逻辑规则与参数调节仿真结果。(In the course assignment of fuzzy control, a Simulink platform is built for a given system (transfer function). The effects of fuzzy control and PID control are compared. The simulation results can be adjusted by choosing different fuzzy logic rules and parameters.)

matlab图像处理程序，用形态学方法提取骨架线

本代码应用FDTD 方法模拟微带带阻滤波器，并得到S11，S12 曲线以及显示电磁波在空间的传播。频率范围为0-20GHz。微带基片的相对介电常数为6.15，厚度是1.27mm。(Application of FDTD method to simulate the code microstrip band-stop filter, and get S11, S12, and the curve shows the spread of electromagnetic waves in space. Frequency range of 0-20GHz. Microstrip substrate relative dielectric constant of 6.15, the thickness is 1.27mm. )

sepic converter module simulink/matlab

包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，包含位置式PID算法、积分分离式PID，包含了阵列信号处理的常见算法，MIMO OFDM matlab仿真。( PV modules contain, MPPT module, BOOST module, inverter module, It contains positional PID algorithm, integral separate PID, Contains a common array signal processing algorithm, MIMO OFDM matlab simulation.)

AWGN channel simulation with Golay coding. Modulation method is BPSK. BER curve is provided.

说明：  利用图像处理工具箱实现均方误差（MSE）、峰值信噪比（PSNR）和熵的源代码(By image processing toolbox to achieve the mean square error (MSE), peak signal to noise ratio (PSNR) and the entropy of the source code)

三相异步电动机的机械特性,matlab详细的仿真(mechanical characters of asynchronous machine)

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

floyd最短路算法、dijkstra最短路算法、求网络的最小费用最大流(floyd shortest path algorithm, dijkstra shortest path algorithm, find the minimum cost maximum flow networks)