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用于使用matlab语言进行的正交振幅调制及系统仿真．(For the use of language matlab QAM and system simulation.)

该系统使用极其简便，即使 你对各种网络模型不是很深刻的了解，也可以很好的使用该系统。使用时， 你可以自己修改网络的各种参数，交互性较好，而且该系统通过大量的图示 及参数设置，可以让你了解每个应用实例实现的过程及详细步骤。(The system is extremely easy to use, even if you have to various network model is not very profound understanding can be a good use of the system. When used, you can change the network's own parameters, interactive better, but the system through a lot of icon and parameter settings, so you can understand each application process and the realization of detailed steps.)

说明：  MATLAB混沌时间序列分析工具箱,可以加到MATLAB中应用(MATLAB toolbox chaotic time series analysis, can be added to the application of MATLAB)

说明：  数字通信系统中采用基带传输和频带传输[ 1, 2 ] ,在抽样判决器之前,信号叠加了信道噪声. 本文利用 Matlab软件仿真[ 3, 4 ]分析了在判决器前叠加了高斯噪声后,信噪比与系统的误码率之间的关系.(Digital communication system using baseband transmission and band transmission [1, 2], in a sample before the decision device, the signal superimposed on the channel noise. In this paper, Matlab software simulation [3, 4] of the device in the sentence before the superposition of the Gaussian noise After the SNR and BER relationship.)

基于艾德尔菲大学的遗传工具箱具体应用指导，非常详细(Application specific instruction genetic toolbox based on Edel Faye University, very detailed)

wireless channel description please see attached

说明：  此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)

无线传感器遗传定位算法MATLAB源码。欢迎交流学习。(Location Algorithm for Wireless Sensor genetic MATLAB source code. Welcome to communicate study.)

用FDTD法计算了填充各向异性介质的矩形波导的截止波数(It caculate the cut-off wavenumbers of rectangular waveguide which is filled with anisotropic medium)

介绍了一个自适应信号处理课程中的仿真练习，有助于初学者使用matlab对书中的算法进行仿真学习(Introduced a course in adaptive signal processing simulation exercises to help beginners use the matlab simulation of book learning algorithm)