APF_SVM_Recti_6_diode12_LCL_PR

it is about power electronics for the student from university lecture notes thirth lesson...

说明：  讲述的直接序列扩频通信系统从信号产生，发射，信道传输，接收整个系统的程序(this is matlab for DS_SS system)

It is stbc 2x2 antenna configuration matlab code for wireless communication system.

这是一个用k均值聚类的matlab 程序 程序对高维数据利用k均值进行了聚类(This is a k-means clustering matlab program procedures for high-dimensional data for the use of k-means clustering)

模仿程序matlab代码，WCDMA系统(模仿程序programming matlap)

说明：  matlab 绘图指令应用及开关语句的应用举例，有需要的同学可以看看(matlab drawing instruction applications and the application of a switch statement example, students can see the need to)

MATLAB的命令大全，包括常用的所有命令，在信息处理方面的应用 (MATLAB command Daquan, including all the commands commonly used in information processing applications)

本文介绍了直接序列扩频系统中数字Costas环的设计与实现，用来实现载波同步的闭环算法(This paper introduces the direct sequence spread spectrum digital Costas loop in the design and implementation to achieve closed-loop carrier synchronization algorithm)

Chebpack by Damian Trif

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.)