scheduling-GA

tfrpwv是计算离散信号Ｘ的Wigner-Ville分布．Tfrspwv是计算离散信号Ｘ的平滑伪Wigner-Ville分布．(tfrpwv is calculated discrete signal X Wigner-Ville distribution. Tfrspwv calculation of the discrete X-signal smoothing pseudo Wigner-Ville distribution.)

抑制饱和PID控制器，已经进行了改进。可以将其改进为PI调节器(Inhibition of saturated PID controller has been improved. Can be improved for the PI regulator)

应用传递矩阵法求解转子动力学特性，转子临界转速和振型等动力学特性被获得。(The transfer matrix method is studied on rotor dynamics, and the critical speed is obtained)

matlab编程必备手册，内容包括matlab编程格式规范、基本编程方法、常用函数及实例等。言简意赅，非常实用。(matlab manual programming required, including matlab programming format specification, the basic programming methods, and examples of commonly used functions and so on. Concise and very practical.)

基于阀值的自适应小波降噪matlab源代码，入门级程序，对新手很有参考价值(Adaptive threshold wavelet denoising Matlab)

识别图像中的矩形，正方形，圆，椭圆，线，点，菱形(Identify the image rectangle, square, circle, ellipse, line, point, diamond)

Model Reference Adaptive Control

MIT--航空航天工程中的计算方法_最优化方案 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。 (MIT- Aerospace engineering calculations _ MIT open course program optimization- Aerospace engineering calculation methods for this course in aviation and aerospace engineering calculations appear in an introduction. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)

综合粒子群和蚁群算法，再利用免疫算法中交叉变异算子；形成ACO-AIA-PSO混合算法，求解TSP问题(Integrated particle swarm and ant colony algorithm, and then use the crossover operator and mutation operator of immune algorithm the formation of ACO-AIA-PSO hybrid algorithm, for solving the TSP problem )

解决图论中最短路问题的最好方法--“Dijstra算法,”通过解析实例模型,对模型算法进行描述、拓展,并给出了求最短路以及求最短路长的MATLAB程序,此程序具有通用性。(The best way to solve the shortest path problem in graph theory is- "Dijstra algorithm," by parsing instance model, the model describes the algorithm, expand, and gives the shortest and seek seek the shortest length of the MATLAB program, this program has versatility.)