Sample

采用加权网络中节点强度和权重都是幂率分布的模型，GPS和INS组合导航程序，做视觉测量的上位机代码。( Using weighted model nodes in the network strength and weight are power law distribution, GPS and INS navigation program, Do Vision Measurement PC code.)

ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m (ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m)

说明：  使用pyqt5绘制了PLC的人机界面。 可以界面控制PLC运转，并监控点位(The man-machine interface of PLC is drawn with pyqt5. The interface can control the operation of the PLC and monitor the location.)

LCD_nokia5110. C51程序。 LCD_nokia5110. C51程序。(LCD_nokia5110)

不错的客户端连接程序，希望大家喜欢，里面是一个客户端的程序，一会会提供服务端的程序(good client procedures in the hope that everyone likes, there is a client process, will provide a service side of the process)

comparison of BER performance for mapping of turbo coding with 16QAM 64QAM 128QAM

无线信道建模一直以来都很复杂，而且不同场景下的模型差异较大，这是一本专门讲解无线信道建模方法的书籍配套的matlab例程(Channel modeling has been very complex, and the model under different scenarios are quite different, which is the one devoted to channel modeling method books matching matlab routines)

短信群发系统，在一些业务范围广泛的公司中，当公司有了新的通知要告诉在外地的员工，通常使用拨打电话的方式，这样虽然能把事情说清楚，但是当在外的员工比较多时，工作量很大，为了解决这个问题，可以开发一个企业短信群发管理系统。企业短信群发管理系统主要利用硬件短信猫发送短信，并且可以查看SIM卡中收到的短信。(Mass messaging system, in a number of business a wide range of companies, when the company has a new notification to tell the staff in the field, normally used by calling the way, so although things can make it clear, but when the staff out for a long time compared , the heavy workload, in order to resolve this problem, can develop an enterprise management system for mass text messaging. Short Message management system for enterprises mainly use the hardware to send SMS text messages a cat and can view the SIM card text messages received.)

说明：  仿真V-BLAST结构MMSE检测算法性能，调制方式为QPSK(The performance of V-BLAST MMSE detection algorithm is simulated, and the modulation mode is QPSK)

说明：  第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)