Resource_Allocation_for_OFDM

说明：  基于matlab的图像LSB隐密程序，含丰富附件(LSB based image matlab secret process, is rich in Annex)

simulink model simulating a microwave oven

收集的有用的工具箱bat文件可以编辑，也可以将其修改成自己的东西。。。(Collection of useful toolbox bat file can be edited)

实现了基于matlab的牛顿环模拟程序，设置成为GUI的形式，更加人性化！非常直观！光电专业的可以看看哟！(Implemented based on the Newton rings matlab simulation program, set in the form of a GUI, more user-friendly! Very intuitive! Optical professional can look at yo!)

matlab codes for various signals generation

关于FBMC和OFDM的子载波信道对比的，里面还包含了原参考文献。(it is about the sub channel comparation between FBMC and OFDM.)

潮流计算是电力学名词，指在给定电力系统网络拓扑、元件参数和发电、负荷参量条件下，计算有功功率、无功功率及电压在电力网中的分布。潮流计算是根据给定的电网结构、参数和发电机、负荷等元件的运行条件，确定电力系统各部分稳态运行状态参数的计算。通常给定的运行条件有系统中各电源和负荷点的功率、枢纽点电压、平衡点的电压和相位角。待求的运行状态参量包括电网各母线节点的电压幅值和相角，以及各支路的功率分布、网络的功率损耗等。(Power flow calculation is a term of power science. It refers to the calculation of the distribution of active power, reactive power and voltage in power network under given network topology, component parameters and generation and load parameters. Power flow calculation is based on the given grid structure, parameters and operation conditions of generator, load and other components to determine the steady-state operation parameters of each part of the power system. Usually, the given operating conditions include the power of each power source and load point, junction voltage, balance point voltage and phase angle. The parameters to be determined include the voltage amplitude and phase angle of each bus node, the power distribution of each branch and the power loss of the network.)

说明：  采用PDE法进行灵敏度过滤，实现悬臂梁的拓扑优化(Sensitivity filtering using PDE method to realize topology optimization of cantilever beam)

A quantitative analysis of perimeter roughness is carried out to illustrate the degree of roughness of input images.

通过Matlab，实现NEGAⅡ，对于多目标优化，并对研究问题SCH，进行了相关实验，效果不错，可以通过增加种群数、个体长度、以及迭代次数，来提高解的质量(The Matlab, the NEGA II, for the multi-objective optimization, and research questions SCH, the relevant experiments, good results, by increasing the number of population, individual length, and number of iterations to improve the quality of the solution)