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(1) 在某些无线信道中，多普勒频移会引起无线信道输出信号的混叠。请描述产生混叠的各种原因； (2) 无线信道中的多普勒谱有一种经典谱(classic spectrum)，请解释产生这种谱形状的机理； (3) 请用Simulink工具编写代码(S-Function方式)，产生一单径瑞利信道，其多普勒谱为经典谱，其中移动速率为120km/h。并请回答：证明自己用计算机产生的经典谱是正确的可能方法。 ((1) in certain wireless channel, the Doppler frequency shift will be caused by wireless channel output signal aliasing. Please describe the resulting aliasing of a variety of reasons (2) wireless channel Doppler spectrum there is a classical spectrum (classic spectrum), please explain such a spectral shape of the mechanism (3) Please use Simulink tools for writing code ( S-Function mode), resulting in a single Path Rayleigh channel, the Doppler spectrum for the classical spectrum, including mobile rate of 120km/h. And please answer: prove that they used computer-generated classical spectrum is correct possible ways.)

GUI界面设计,实现GUI部分交互功能,对GUI功能界面的处理会有更深入的处理.(WZZGUI1, by itself, creates a new WZZGUI1 or raises the existing singleton.)

说明：  利用MUSIC算法进行TOA估计，可用于无线传感器网络节点定位(TOA estimation by MUSIC algorithm for wireless sensor network node localization)

一本预测控制最经典的书籍，由席裕庚编写。(A predictive control most classic books, written by XI Yu-Geng.)

code for calculating zernike moments

wolf求最大Lyapunov指数，方法简单，速度快，便于理解。(wolf biggest Lyapunov exponent, the method is simple, fast, and easy to understand.)

说明：  蚁周算法的Matlab程序，可运行，图像可视化，但速度较慢(Matlab algorithm ants week program can be run, image visualization, but slower)

content based image using texture and color based histogram analaysis

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)

卡尔曼滤波理论和实践，第三版，经典书籍，值得参考(Kalman filtering theory and practice, third edition, classic books, it is also useful)