Radar-Design-simulation

本书介绍了C++实用编程技术和最佳的实践方法，深入研究了异常处理。(This book describes the practical C++ programming techniques and best practices, in-depth study of exception handling.)

研究了目标速度对LFM信号匹配滤波的影响(Of the target speed of the LFM signal matched filtering of)

we present a practical link adaptation algorithm for MIMO-OFDM systems. The proposed solution is based on sounding the channel periodically and choosing the optimal mode that will maximize the throughput or energy efficiency (EE) while satisfying the application’s quality of service (QoS) requirements. In addition, we address practical problems such as the computational complexity of the algorithm and determination of sounding period by novel closed form solutions and iterative algorithms. Realistic link level simulations confirm that the proposed solution achieves significant improvement over existing link adaptation algorithms when the aim is to maximize the throughput, and provides orders of magnitude gain in energy efficiency compared to poorly chosen fixed modes when used for energy efficiency maximization purposes. The resulting algorithms are implemented on a real time MIMOOFDM testbed, and we report on the experimental results.

说明：  这是一个自相关法求AR模型谱估计的matlab程序。(This is a self - correlation method for AR model spectrum estimation matlab program.)

Matlab code for localization error by matlab

《MATLAB有限元分析与应用》一本不错的教材(MATLAB finite element analysis and application)

用matlab实验k-means算法，对数据进行分类。(Matlab experiments using k-means algorithm to classify the data.)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

我是做石油采油工艺的，我上传的程序是关于采油机计算泵功图，气体影响下的泵功图计算，上下冲程数据的提取等一系列程序，真心希望在这个论坛里交流学习~~(I do the oil extraction process, I uploaded the program is about oil extraction machine calculated pump power, pump gas under the influence of dynamometer calculation, the up and down stroke data extraction, a series of procedures, sincerely hope that the exchange of learning in this forum ~ ~)

SIMULATION FOR MOTOR STRARTING