tongxin

介绍了数字通信中的QPSK调制解调的原理，通过用Matlab编写脚本程序对QPSK通信系统的发射和接收过程的具体实现进行模拟仿真，绘出信号在理想信道和加噪信道中模拟传输时的时域图，并对各模块进行了频谱分析，所得到的结果与理论基本相符，对于理解QPSK系统的性能并在系统的实际应用上作进一步的设计，提供了有效的参考依据(The introduction was done with the principle of the QPSK modulation and demodulation in digital communications, a script was written by using Matlab program to carry out a simulation of the QPSK communication system ,which contains the concrete realization of transmit and receive process. The time-domain diagram is drew separately when the signal transmits in the ideal channel and in the channel with noise, spectral analysis of each module is also done, the results obtained with theoretical results in the main, which provides an effective frame of reference for understanding the performance of QPSK systems, and the practical application in the system to make further designed.)

Plot historical stock data (m file)

Image processing functions. AMBE, median 2D, image standard deviation of a pdf

用拖布列兹MUSIC估计来波方向，及对数据协方差矩阵斜对角线上的元素进行平均再DOA估计(Using drag Boulez the MUSIC estimated to wave direction, and the average re-DOA estimated data covariance matrix oblique diagonal elements)

matlab about interpolation image processing, sfu, burnaby, bc, canada, v5a3z3

该simulink仿真为模块化多电平换流器构成的逆变器，采用开环控制，开环控制效果良好。建议使用高版本matlab打开(This simulink model is a Modular Multilevel Converter, it uses open loop control and has a well control.)

matlab进行潮流计算的一个工具，在文件内。(matlab a tool for power flow calculation, in the document.)

说明：  假设移动用户从距离基站1英里的地方开始以每小时40英里的恒定速度相基站移动，仿真移动用户在这2s时间间隔内所接收的信号（及其频谱）(Suppose mobile user from the base station a mile from the start where the constant speed of 40 miles per hour relative to the base station mobile, mobile users in the 2s simulation time interval the received signal (its spectrum))

关于功率谱估计的,周期图法,自相关法,bartlett法和welch法,还有一个复倒谱估计的代码(On the power spectrum estimation, periodogram, since the relevant law, bartlett law and Welch law, there is a Complex Cepstrum estimated code)

说明：  天牛须算法与pid控制算法结合，通过matlab实现，欢迎下载(Tianniu must algorithm and PID control algorithm, through MATLAB, welcome to download)