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matlab与数字信号处理的相关代码，内附有详细的讲解课件(matlab and digital signal processing related code, containing a detailed explanation of courseware)

matlab仿真线性雷达天线方向图。仿真矩形天线的方向图。(The matlab simulation linear radar antenna pattern. The simulation of rectangular antenna pattern. )

基于最新一篇关于圆环阵超指向性论文做出的仿真，已经有了论文的介绍，程序中仅作关于二维波束形成的简单仿真演示。(Make simulation based on the latest article on the ring array of ultra-directional papers, has been the introduction of the paper, the program only for simple two-dimensional beam simulation demo.)

基于matlab的数字图像压缩编码基于matlab的数字图像压缩编码(Matlab-based digital image compression coding)

电子通信系统的建模与仿真 第9章 天线及智能天线仿真 9.1 全向天线的波束下倾 9.2 天线阵的波达方向估计 9.3 天线阵的波束形成?(Electronic communications system modeling and simulation of Chapter 9 of the antenna and smart antenna simulation 9.1 omnidirectional antenna beam antenna array under the dump 9.2 Direction of Arrival Estimation 9.3 Antenna Array Beamforming ?)

A very simple code to help you to calculate the aritmetic average on the IDL interface.Works in all the IDL versions

说明：  MOPSO多目标粒子群优化算法MATLAB实现（可直接运行）(MOPSO multi-objective particle swarm optimization algorithm MATLAB (can be directly run))

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

支持向量机算法，可很好的用于分类问题，广发用于人脸识别，步态识别中！(Support vector machine algorithm, can be a good issue for classification, GF for face recognition, gait recognition!)

FRACTIONAL FOURIER TRANSFORM USING ALTERNATE PIXELS