ofdm

基于IEEE33节点的一份利用yalmip建模求优化的一份程序，很难得(A program based on IEEE33 nodes that uses yalmip modeling for optimization is very difficult to obtain)

matlab仿真PWM控制直流电机，仿真曲线还可以(matlab simulation of the PWM control of DC machine, the simulation curve can also)

PRTool 5,matlab模式识别工具箱-PRTool 5 ,A Matlab Toolbox for Pattern Recognition(PRTool 5, matlab Pattern Recognition Toolbox-PRTool 5, A Matlab Toolbox for Pattern Recognition)

用于码头装卸问题，数学建模；用于码头装卸问题，数学建模(For terminal handling problems, mathematical modeling for terminal handling problems, mathematical modeling)

基于粒子群的多峰值函数最优化方法，粒子群算法应用于多领域(PSO on muti-peak function)

radar equation, for counting, how far is your target

MATLAB simulink 径向基神经网络 前馈神经网络(Application and Comparison of BP Neural Network Algorithm in MATLAB)

太阳能光伏电池matlab仿真程序，运用牛顿拉夫逊迭代法求解(Solution of Solar Photovoltaic Cells by Newton Raphson Iterative Method Using matlab Simulation Program)

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)

Digital image processing for lecture