cat2013-Prospectus--cusat

adaptive modulation and coding

随机过程仿真必备，伪随机序列的Matlab实现与分析.kdh(Stochastic process simulation necessary, pseudo-random sequence of Matlab Implementation and Analysis. Kdh)

说明：  给程序给出了功率放大器预失真过程中的时延同步问题。(This codes provides the time delay synchronization in the process of power amplifier predistortion.)

A New Algorithm for Joint Range-DOA-Frequency Estimation of Near-Field Sources

这是研究欧洲DVB-T标准的一套合集，主要介绍了DVB-T单频网的同步技术，以及系统设计和实现。其中对DVB-T单频网进行了详细的讲解，对研究我国的数字电视广播技术也有很好的借鉴作用。(This is the study of the European DVB-T standard a collection, mainly introduces the synchronization technology of DVB-T single frequency network, and the system design and implementation. It make a detailed explanation of DVB-T single frequency network, also have a very good reference for digital television broadcast technology research in china.)

comparaison of photovoltaic mppt algorithms

Power Allocation for Underlay Device-to-Device Communication over Multiple Channels

分析了该信号的时域、频域、倒谱，循环谱等,包括广义互相关函数GCC时延估计，这个有中文注释，看得明白。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Including the generalized cross-correlation function GCC time delay estimation, The Chinese have a comment, understand it.)

面向QOS的马尔可夫选择决策算法，通过对算法模型合理化构建过程于异构环境特点的紧密结合，最大程度满足异构网络环境中用户QOS的长期效益(Facing the QOS markov selection decision algorithm, based on the rationalization process in constructing algorithm model heterogeneous environment characteristics of closely, satisfy heterogeneous network environment the user QOS long-term benefits )

主要是实现调制识别，区分几种常用的数字调制信号。含有两个文件夹 其一为特征参数的仿真；其二为正确识别率的仿真。文件夹key feature simulink中： 运行程序会得到各特征参数之间区分图 从图中可看到特征参数的有效性，见图。 文件夹classification rate simulink中：运行main.m文件 可以得到正确识别率 见图。(It is mainly to realize modulation recognition and distinguish several commonly used digital modulation signals. The simulation of two folders is one of the characteristic parameters, and the second is the simulation of the correct recognition rate. In the folder key feature Simulink: The running program will get the validity of the feature parameters that can be seen from the diagram, as shown in the diagram. Folder classification rate Simulink: running the main.m file can get the correct recognition rate.)