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ofdma 的一些资料对于初学者是很有用的 学习也很方便(ofdma some information is very useful for beginners to learn is also very convenient)

排队论轮询算法的matlab性能仿真，包括简单轮询算法和加权轮询算法，比较10个节点网络的生存时间，自己写的代码~(Queuing theory polling algorithm matlab performance simulation, including a simple algorithm and weighted round robin polling algorithm and compare 10 node network lifetime, write your own code ~)

一个基于matlab的GSO(群搜索)寻优算法例程，通过修改适应度函数可以完成不同的寻优任务，可用于开发改进算法或与其他智能优化算法进行对比。(A matlab-based GSO (group search) algorithm optimization routines, by modifying the fitness function optimization can perform different tasks that can be used to develop improved algorithms or other optimization algorithms and intelligent comparison.)

基础线性分类器的检测用于分离超平面是单向垂直的。( TESTING THRESHOLD CLASSIFIER)

简单pid和串级pid的matlab仿真(Simple cascade pid pid and the matlab simulation)

基于遗传算法寻优参数的支持向量机算法，使得算法的参数达到全局最优，避免陷入具备最小(Support Vector Machine Algorithms Based on Genetic Algorithms for Optimizing Parameters)

这是标准谱减算法和小波阈值降噪方法，虽然效果不太好，但是作为经典降噪方法，还是有很高的参考价值，也是此类文献引用最多的方法。(This is the standard spectral subtraction and wavelet thresholding method of noise reduction, although results are not good, But as a classic noise, or a high reference value, such literature is the most used method.)

利用相关的瞬时值通过在工作过程中的逐步调整参数逼近信号的统计特性，实现最优滤波。由此，我们得到一种最常用的算法——最小均方算法，简称LMS算法。(By using the instantaneous value of the correlation operation of the progressive approximation of the statistical properties of the signal to adjust the parameters to achieve optimal filtering. Thus, we get one of the most commonly used algorithms- the minimum mean square algorithm, called LMS algorithm.)

deeplearning的工具箱，里面包含了多种神经网络的模型(deeplearning toolbox, which contains a variety of neural network models)

Classification,PE,SE An Engineering Approach Using MATLAB