Principles_of_communication_systems_simulation_wit

etsvr is use for prediction alghoritm

kaerman 算法用于matlab中的计算(kaerman matlab algorith)

通过对噪声中正弦信号的现代法频谱分析，来理解和掌握现代谱估计的基本概念，以及学会应用现代谱估计以及改进后的方法。(Modern Law of the sinusoidal signal noise spectrum analysis to understand and master the basic concepts of modern spectral estimation, as well as learn to apply modern spectral estimation, as well as the improved method.)

说明：  禁忌（Tabu Search）算法是一种亚启发式(meta-heuristic)随机搜索算法，它从一个初始可行解出发，选择一系列的特定搜索方向（移动）作为试探，选择实现让特定的目标函数值变化最多的移动。为了避免陷入局部最优解，TS搜索中采用了一种灵活的“记忆”技术，对已经进行的优化过程进行记录和选择，指导下一步的搜索方向，这就是Tabu表的建立。(Tabu Search algorithm is a meta-heuristic random search algorithm. It starts from an initial feasible solution, chooses a series of specific search directions (movement) as a trial, and chooses to achieve the movement that makes the most changes in the value of a specific objective function. To avoid falling into local optimum, TS search uses a flexible "memory" technology to record and select the optimization process that has been carried out, and to guide the next search direction, which is the establishment of Tabu table.)

nlms算法的实验，仿真，在白噪声下的情况(nlms is simulated on matlab)

通过边界集中识别图像形状特性，并返回数值(Images by identifying the boundary shape characteristics of centralized and return values)

该资料为多目标粒子群求优MATLAB代码。改进的多目标粒子群算法，包括多个测试函数 对程序中的部分参数进行修改将更好地求解某些函数(The data is a multi object particle swarm optimization MATLAB code. The improved multi-objective particle swarm optimization algorithm, including the number of test functions in the program to modify some of the parameters will be better to solve certain functions)

基于新的树编码方式用免疫遗传算法解决DCMST问题：提出了一种新的树编码方式，可以方便地表达一棵树，简化了树在遗传算法中的编码表达。且新的树编码方式清楚地表达了边的信息，有利于疫苗的设计。此外，本文使用免疫遗传算法，有效地克服了传统遗传算法中解退化的现象。数值实验表明，解的振荡相对于传统遗传算法减小了，且收敛速度更快。(New tree-based encoding genetic algorithm with immune DCMST problem: A new tree encoding, you can easily express a tree, the tree simplifies the code in the expression of genetic algorithm. And new tree encoding side clearly expressed information is conducive to vaccine design. In addition, we use the genetic algorithm can effectively overcome the traditional genetic algorithm, the phenomenon of degradation in the solution. Numerical experiments show that the oscillation of solutions with respect to reducing the traditional genetic algorithm, and the convergence faster.)

关于非线性离散系统辨识，解耦，恢复原信号，BP神经网络的整个训练过程。( Nonlinear discrete system identification, Decoupling, restore the original signal, The entire training process BP neural network.)

基于MATLAB的低通FIR滤波器的设计于仿真(MATLAB-based low-pass FIR filter design in the simulation)