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this code implementation radar.

本文利用Matlab／Simulink软件，以无线电调幅广播发射与超外差接收系统为例，对“通信电子电路”课程中重要的通信系统单元电路进行了仿真和分析，给出了仿真模型和较为详细的各点仿真波形，并结合实际给出了多路系统的仿真结果。将该Matlab仿真引入课程教学。可以使学生在学好课程的同时，了解和掌握通信系统建模与仿真的方法。(In this paper, the use of Matlab/Simulink software to the radio superheterodyne AM radio receiver system with the launch as an example, the " communication electronic circuits" course an important element of communication system circuit simulation and analysis, the simulation model and the more detailed Simulation waveform points, combined with the actual multi-channel system is given the simulation results. Matlab simulation of the introduction of the teaching. Will enable students to study courses at the same time, understanding and knowledge of modeling and simulation of communication systems approach.)

无线通信基础，介绍有关无线通信的基础知识，是多天线多输入多输出方式(wireless mimo)

一个实例搞定MATLAB界面编程,极易上手(An instance to get the the MATLAB programming interface, easy to use)

一个光伏逆变器的matlab模型，采用双闭环控制(Matlab a photovoltaic inverter model, in dual closed loop control)

本程序对rake接收机的仿真程序 在matlab simulink下实现，其信道模型采用802.15.3a信道，信源部分的采用UWB信号，最后通过计算snr与errorbitrate来说明rake接收机性能(this program right rake receiver in the simulation program under Matlab Simulink. its channel model used 802 .15.3 a letter, the source of the signal using UWB, Finally, with errorbitrate snr calculated to illustrate rake receiver performance)

这里面包含几个MPPT的模型，实现最大功率跟踪，波形可靠。需要比较低版本的matlab才可以。(It contains several MPPT model, to achieve maximum power tracking, waveform and reliable. Need low version of the matlab. )

燃料电池电动汽车能量管理的控制策略，包括燃料电池的建模，变换器的设计，能量管理策略的仿真(Control Strategy fuel cell electric vehicle energy management, modeling includes a fuel cell, the converter design, simulation, energy management strategy)

给出了数字信号处理课程设计的基本程序，包括采样、快速傅里叶变换、功率谱分析等。(Give a digital signal processing of the basic procedures for curriculum design, including sampling, fast Fourier transform, power spectrum analysis.)

這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式(1- Read the RGB (colored) image in from user. 2- Convert image from (RGB) colored to gray image. 3- Threshold the image (convert gray image to binary image). 4- Invert the binary image (in order to speed up the time of processing). 5- Find the boundaries concentrate. 6- Determine shapes properties (ratio of dimensions, roundness). 7- Classify shapes according to its properties. )