tegcweev

SMI方向图和性能(波束形成算法，自己修改） 优点： 收敛速度快 缺点：1 当阵元输出含有较强的期望信时，或者期望信号与干扰信号相关时，性能急剧下降.2 由于权向量含有方向矢量，因此对阵列的幅相差非常敏感；3 ,期望信号的功率不能过大，比干扰信号相差几十dB，也就是说，在小期望信号、大干扰信号情况下，也可进行SMI处理。 (SMI pattern and performance (beamforming algorithm, make changes to) Advantages: fast convergence Disadvantages: 1 output when the array elements with strong expectations of the letter, or related to the desired signal and interference signals, the performance sharply .2 direction vector containing the weight vector, so the array is very sensitive to the amplitude difference 3, the desired signal The power can not be too large, than the difference between the scores of interference signal dB, that is, in the small desired signal, large signal interference case, SMI can also be handled. )

测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)

%例六 多径传播 %本程序中时间单位是微秒 %频率单位为MHz %码速率单位是Mb/s( Cases of more than 6 track the spread of the time this process units are microseconds MHz frequency unit code rate units are Mb/s)

基于matlab的ofdm 各种源程序.......(Matlab source code based on a variety of ofdm)

PF,EPF,UPF的对比仿真代码，可以很直观的看出各种算法之间的差别及各自的优缺点。可直接运行。(PF, EPF, UPF contrast simulation code, it is intuitive to see the differences between the various algorithms and their respective advantages and disadvantages. Can be directly run.)

VC 调用matlab combuilder简单例子(VC call matlab com file)

Contents Introduction Original Black-Scholes Formula Fractional Brownian Motion Applications of Wick-Itˆ o Stochastic Calculus in Finance Other Developments & Future Works References

多尺度的压缩感知跟踪matlab源码，效果还不错，亮点在于解决多尺度变化的问题(Multi-scale compressed sensing tracking matlab source, the results were good, highlights that solve the problem of multi-scale changes)

Optische Nachrichten technik

这里包括了各种基阵信号处理在matlab中的方向图仿真实现，以及cbf以及mvdr功率谱估计。(This includes a variety of signal processing arrays in the direction of graph in matlab Simulation and cbf and mvdr power spectrum estimation.)