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TMM模拟电磁波在堆膜中传播过程 和场分布,可简易改变参数 作不同体系的透射反射谱图和场分布图(TMM simulation of electromagnetic waves in the spread of membrane reactor process and field distribution can be easy to change the parameters for different systems of transmission reflection spectra and field distribution)

经典频偏估计算法分析研究中M&M算法的仿真实例(Classic analysis of the frequency offset estimation algorithm M & M algorithm simulation)

1、利用simulink中sfunction方法建立航天器姿态动力学模型和运动学模型； 2、利用linmod对非线性模型线性化； 3、姿态模型线性化后，利用极点配置（pole）方法求取控制参数； 4、将控制参数带入非线性模型仿真控制效果。(One using simulink sfunction method to establish the dynamic model and kinematic model of the spacecraft attitude 2, the use of linmod linearization of the nonlinear model Attitude model linearization, the use of pole configuration (pole) is used to obtain the control parameters 4, the control parameters into the nonlinear model simulation control effect.)

本课件按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是一大特色。 本课件适合作为理工科高等院校研究生、本科生教学用，也可作为广大科研工程技术人员的自学。(The courseware is organized in a logical, throughout examples described complete and relatively independent of each chapter suitable for both beginners and for advanced MATLAB users. Combined with the description of MATLAB and FORTRAN, C, and other languages ​ ​ is a major feature. The courseware for science and engineering universities graduate, undergraduate teaching, can also be used as a self-study of the majority of scientific engineering and technical personnel.)

Jerk混沌系统产生的模拟信号的均值化处理 方法简单效果明显(Mean treatment method Jerk chaotic system to produce an analog signal simple obvious effect)

MATLAB仿真多用户MIMO系统容量的源代码((MATLAB simulation of multiuser MIMO system capacity of the source code))

说明：  基于聚类的不规则Pareto前沿多目标优化的自适应进化算法(A clustering based adaptive evolutionary algorithm for multi-objective optimization with irregular Pareto fronts)

this application is used to search in data base to get some data with special specificaton

when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high. However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator. So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.

water fillinfg algoritm for power allocation in mimo ofdm chanals