NLMS

说明：  图像空域变换增强技术实践,附带matlab code(Image enhancement technology transform the practice of airspace，Matlab code attached)

MIMO 雷达波束设计方面的文献，有需要可以看看(A capon beamforming method for clutter suppression in MIMO radar)

active power filter without any correction matlab simulink file

小波分解A Trous算法Matlab代码示例(Wavelet decomposition A Trous algorithm Matlab code examples)

说明：  内含capon算法、求根music、谱估计music算法的简单举例。m文件格式，可直接运行，无错。(Capon includes algorithms, roots music, spectrum estimation of a simple algorithm, for example music. m file format, can be directly run, no mistakes.)

建立了整车的6自由度模型，包括轮胎模型、车身模型、垂向力模型等(The 6DOF model of vehicle)

一种传统搜索优化算法 不需要对目标函数求导 得到很好的优化效果(A traditional search algorithm does not need to differentiate the objective function ,also gets well optimized results)

在matlab环境下用fdtd法计算三维rcs，散射体为圆柱或矩形柱，边界条件采用UPML。(In the matlab environment with three-dimensional method fdtd rcs, scattering cylindrical or rectangular column, the boundary conditions used UPML.)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

Performance of QPSK and DQPSK in AWGN and Rayleigh Fading Channel. A detailed Report of the work done in the source code is also attached as another file