Simulink

这是关于直接序列扩频通信系统的DS-CDMA方式的仿真设计，系统主要分为发送机和接收机两部分，包括17个可用于SIMULINK仿真的S-FUNCTION代码M文件，和一个MATLAB源程序的DOC文件，程序都有详细的注释。(This is a direct sequence spread spectrum communication system on the DS-CDMA mode simulation design, the system can be divided into two parts, transmitter and receiver, including 17 for the S-FUNCTION SIMULINK simulation of M code files, and a MATLAB source code The DOC file, the program has detailed notes. 朗读 显示对应的拉丁字符的拼音 字典- 查看字典详细内容名词0.directness0.immediacy形容词0.direct0.immediate0.first-hand0.plump副词0.straight0.right0.slap )

文件夹介绍计算机控制系统的PID两个实验，从数字信号的处理的方式，用调节三个控制参数的值从而实现系统控制的稳定。(Folder describes the PID of the two experiments of the computer control system, digital signal processing, system control to adjust the three control parameters values ​ ​ in order to achieve stable.)

matlab，实现永磁同步电机调速，pid控制(matlab，PID controller PMSM)

基于人工神经网络的常用数字信号调制，快速扩展随机生成树算法，可以得到很精确的幅值、频率、相位估计，加入重复控制，用于特征降维，特征融合，相关分析等,进行波形数据分析。( The commonly used digital signal modulation based on artificial neural network, Rapid expansion of random spanning tree algorithm, You can get a very accurate amplitude, frequency, phase estimation, Join repetitive control, For feature reduction, feature fusion, correlation analysis, Waveform data analysis.)

通过确定特征值所张成的特征空间上的主成分分析方法，确定对确定输出变量间的输入变量的相互影响关系。(By determining the characteristic features of the value of the Zhang space on principal component analysis to determine the output variables in determining the input variables in our cases.)

基于辅助最小二乘算法的输出误差模型未知参数的辨识程序(AM_RLS.m for the output error models)

自己编写的函数，通过卷积滤波方法实现离散的小波变换。(Write your own functions, discrete wavelet transform, convolution filtering method.)

说明：  2011-zhang-Dynamic Modeling of Scraper Conveyor Sprocket

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

matlab最优化问题整理，对matlab常用的一些最优化函数做了介绍(matlab optimization problem finishing, some of the most commonly used on the matlab optimization function, made an introductory)