OADM-based-on-AWG

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

基于压缩感知的均匀线阵波达方向估计matlab代码(Estimation matlab code is based on compressed sensing uniform linear array DOA)

语言：matlab 实现功能：逻辑回归实现分类 输出：predict_label;ACC(Language: matlab Implementation function: Logistic regression implementation classification Output: predict_label; ACC)

里面包含有几个非常好的基于粒子群优化的算法和基于matlab的源程序，对研究粒子群和优化的朋友很有帮助。(Which contains a few very good based on particle swarm optimization algorithm and matlab based on the source, the study of particle swarm optimization and helpful friends.)

对图片进行gamma校正，可以对黑白图片进行比较好的gamma校正，对彩色图片有一定得校正功效！(On the picture for gamma correction, black-and-white picture can be a better gamma correction, color picture of a certain efficacy of a correction!)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

assembles the coefficient matrix for 1D finite element method

这是多相滤波器设计MATLAB仿真程序，献给大家做个参考(This is a polyphase filter design MATLAB simulation program, dedicated to be a reference to)

包络解调分析在轴承故障诊断中的应用，可为故障诊断提供方法(Envelope demodulation analysis in Bearing Fault Diagnosis for fault diagnosis method)

说明：  88行SIMP拓扑优化方法程序，采用移动渐近线法MMA求解器(The code of the classical SIMP method implemented by the MMA solver.)