Allocation-of-bedsmatlab

进行雷达测速的频谱分析，主要是对实际信号分析得到多普勒频率，进而求出车运行的速度(Spectrum analysis of radar speed。The Doppler frequency of the actual signal analysis, and then calculate the running speed of the car)

非扫描激光雷达 matlab simulink(no-scanning lader matlab simulink)

基于Matlab的时域卷积的动态演示的实现，对进行DSP工作的通知可能有一定帮助。欢迎下载(Matlab-based time-domain convolution of the realization of the dynamic presentation of the work carried out to inform the DSP may have some help. Welcome to download)

为了提高移动通信系统中数据传输的有效性能,降低GMSK调制系统的误码率. 首先对GMSK调制系统进行分析,得到不同BT值GMSK调制的移动通信系统误码率和带宽的关系.通过引入具有纠错性能的编码技术,降低信息传输的误码率,提高系统的有效性. 本文给出了引入编码技术的GMSK调制系统的仿真模型,仿真结果表明,在相同的信噪比下,系统的误码率降低了1～2dB.(This paper mainly intends to improve the performance of the communication system and decrease the error bit rate of the information. First , the GMSKmodulation system was analyzed , and the relation of the BER and bandwidth in the different BT value was obtained. By introducing the encoding technology , the error bit rate of the information was lowered so that the performance of systemwas improved. This paper presents a simulated model . The results show that the BER of the system in the same SNR can lower 1 to 2 dB.)

用matlab模拟了投篮，可以自行选择角度，力度，可以模拟篮球打到篮筐时的弹跳，效果很炫(Matlab simulation shooting, you can choose the angle, intensity, and can simulate the bouncing basketball hit the rim shining effect)

计算频控阵天线的方向图，以及场分布的程序，适合新手学习(The direction and the field distribution of the frequency controlled array antenna are calculated.)

说明：  利用粒子群算法优化svm参数，得到高精度的svm模型(The parameters of SVM are optimized by particle swarm optimization (PSO), and the SVM model with high precision is obtained)

风机仿真的风况模型，能生成三类风机、三类湍流强度下的NTM、ETM、EWM、EOG及ECD各种风况下实时风速(Fan, the simulation of the wind model can generate three kinds of blower, NTM under three kinds of turbulent intensity, ETM, EWM, EOG and ECD for real-time wind speed under different wind conditions)

registraion in matlab environment

mandelbrot 分型图的仿真与绘制。mandelbrot.m, mandelbrotdemo1.m, mandelbrotdemograph.fig(Mandelbrot type of simulation and rendering Fig. mandelbrot.m, mandelbrotdemo1.m, mandelbrotdemograph.fig)