Interview-Collection

Bit error probability curve for QPSK mimo 2*1

2008年春季函授有关问题1 林厚从(Correspondence relating to the spring 2008 issue of 1 lam thick from the)

Butterworth filter design for digital signal processing

说明：  基于Simulink的DPSK的通信系统仿真 Simulink 是MATLAB提供的实现动态系统建模和仿真的一个软件包，它让用户把精力从编程转向模型的构造，为用户省去了许多重复的代码编写工作；Simulink 的每个模块对用户而言都是透明的，用户只须知道模块的输入、输出以及模块的功能，而不必管模块内部是怎么实现的，于是留给用户的事情就是如何利用这些模块来建立模型以完成自己的仿真任务；至于Simulink 的各个模块在运行时是如何执行，时间是如何采样，事件是如何驱动等细节性问题，用户可以不去关心，正是由于Simulink 具有这些特点，所以它被广泛的应用在通信仿真中，利用Simulink 强大的工具箱和其建模的优势建立了常用的DPCM数字电话通信系统仿真模型，对该通信系统进行了模型构建、系统设计、仿真演示、结果显示以及综合性能分析，而且该分析方法同样可推广到其它的通信系统，具有普遍意义。(Simulink-based simulation of Simulink DPSK communication system is provided by MATLAB dynamic system modeling and simulation of a software package that allows users to shift attention from the programming model of the structure, the user save a lot of repetitive coding work Simulink Each module is transparent to the user, the user need only know the module s input, output and functional modules, rather than how the realization of the internal control module, and then left to the user to do is how to use these modules to build model to fulfill its a simulation tasks as Simulink s Ge Ge module at run time how Zhi Xing, Shi Jian yes how to sample, events are the details of how to drive and so on Xing problem, users can not care, Zheng Shi as Simulink those characteristics, so Ta is widely used in communication simulation, using Simulink toolbox and its powerful modeling advantage of the establishment of a common DPCM Digital telephone communication system simulation model, the communica)

There are some trials for DOA estimation by applying the wavelet transform method into several sub bands MUSIC and CYCLIC MUSIC scenarios

orthogonal frequency demod

Very good reference materials on network information theory

HART Communication Foundation - Common Tables Specification

说明：  关于椭圆算法的，比较通俗易懂，供初学者用(Algorithm on the elliptical, more user-friendly for beginners with)

说明：  求解双层规划问题常用的算法有极点算法、直接搜索法、下降法和非数值优化方法(如模拟退火算法、遗传算法等)，遗传算法的求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解。(Solving Bilevel Programming Problems with pole algorithm commonly used algorithms, direct search method, descent and non-numerical optimization methods (such as simulated annealing, genetic algorithms, etc.), genetic algorithm for solving approaches: the first on the top of the decision variable coding, on behalf of the were lower programming model, by solving the lower model of decision variables values into the upper model on behalf of the fitness value, and then crossover and mutation, select Options, and finally get the best solution.)