nural-network

一篇论文《基于ＭＡＴＬＡＢ的智能天线波束方向图仿真》介绍用ＭＡＴＬＡＢ仿真天线波束方向图的方法(Paper, " MATLAB-based smart antenna beam pattern simulation," introduced the use of MATLAB simulation of the antenna beam pattern method)

RT Estimation matlab file

粒子群算法是改进后的智能优化算法，它是模拟鸟类觅食的过程的一种优化算法，采用的压缩miu值得粒子群算法(PSO is improved intelligent optimization algorithm, which is a simulation of birds foraging in the process of an optimization algorithm, using the compression miu worth PSO )

主要向大家介绍matlab当中的主要算法，有具体算法的应用，供大家学习交流。(Matlab which introduces the main algorithm, application specific algorithms for everyone to learn communication.)

离散系统的Nyquist图，针对离散系统进行稳定性分析。(Nyquist plots of discrete systems, stability analysis for discrete systems.)

基于FSK的快速跳频通信系统,使用simulink仿真工具实现(Fast frequency hopping communication system based on FSK)

For some tasks it may be useful to display marks over images

实时读取MIT数据库中的二进制文件，并显示ECG信号(Real-time read the MIT database binary files and show ECG signal)

说明：  实验目的：对带通信号及其低通等效信号进行分析和仿真。 实验内容： 1、参考教材P24面例子，考虑如下带通信号，编写仿真程序实现，得出仿真结果。 （1） 画出该信号和它的幅度谱； （2） 求出该信号的解析信号，并画出它的幅度谱； （3） 求出并画出该信号的包络； （4） 分别假设 和 ，求该信号的低通等效，并画出它的幅度谱。 2、设带通信号为： 通过Matlab编程仿真实现： （1） 画出该信号和他的谱函数（包括幅度和相位） （2） 确定并画出解析信号的谱函数（包括幅度和相位） （3） 画出该信号的包络。 （步骤一，二中，设采样间隔为ts=0.002s）。 (Purpose: To Bandpass and lowpass equivalent signal analysis and simulation. Experiment: 1, reference materials P24 plane example, consider the following bandpass signals, writing simulation program implementation, simulation results obtained. (1) Draw the signal and its amplitude spectrum (2) Find the analytical signal of the signal, and plot its amplitude spectrum (3) Find and draw the envelope of the signal and (4) respectively assumptions and seeking the equivalent lowpass signal and draw its amplitude spectrum. 2, is provided with a communication number: Simulation by Matlab programming: (1) Draw the signal and his spectral function (including amplitude and phase) (2) to identify and draw the analytic signal spectral function (including amplitude and phase) (3) Draw the envelope of the signal. (Step one, two, and set the sampling interval ts = 0.002s).)

methods of Intelligent Systems and Intelligent Computing, very intersting and very useful for beignners.