the-parameters-of-differential

LFM信号，通过IQ解调，再A/D变换，上变频，分析输出信号频谱(LFM signal, through the IQ demodulation, and then A/D conversion, on the frequency, the output signal spectrum analysis)

汽车底盘集成控制simulink仿真，含有汽车悬架和转向系统的集成。(Integrated chassis control simulink simulation, with automotive suspension and steering systems integration.)

Robotic is a special engineering science dealing with designing, modelin& controlling and robots utilization.

在此代码所使用的算法是从以下引用： S Gillijns等人“什么是集合卡尔曼滤波和它工作得如何？“ 2006年美国电力系统及其控制会议，明尼阿波利斯，美国明尼苏达州六月14-16，2006，页4448-4453。(The algorithm used in this code is referenced from the following: S Gillijns et al "What Is the Ensemble Kalman Filter and How Well Does it Work?" Proceedings of the 2006 American Control Conference, Minneapolis, Minnesota, USA, June 14-16, 2006, pp 4448-4453.)

本算法程序基于实测汽轮机振动信号进行了测试及性能分析。理论分析及仿真结果表明，AR模型谱估计算法在阶次合适的情况下，能够取得较好的方差及分辨力性能，适合于振动信号的功率谱估计，且AIC准则为确定合理的模型阶次提供了有效依据。(This algorithm based on the measured turbine vibration signal testing and performance analysis. Theoretical analysis and simulation results show that, AR model spectrum estimation algorithm in appropriate circumstances the order, the variance can achieve better performance and resolution, suitable for vibration signal power spectrum estimation, and the AIC criterion to determine a reasonable model order provides an effective basis.)

this is a very interesting paper, ple read it PerformanceofAlamoutiSchemewith TransmitAntennaSelectionfor M-raySignals

采用MATLAB语言，编程实现了数字图像的结构相似系数（SSIM）的计算，程序简单，易运行。(Using MATLAB language, programme the digital image structure similarity coefficient (SSIM). Andthe program is simple, easy to run.)

使用qam星座调制方式下的，空时编码STBC的误码率(BER)仿真(The use of QAM modulation constellation manner, the space-time coding STBC BER (BER) simulation)

这是一本关于matlab在数学建模中的使用的书，希望对大家有用(This is a book on matlab in the use of mathematical modeling in the book, I hope useful for everyone)

人脸检测的程序，效果不错！内附用法说明，调用一张图片，将现实出人脸的边缘。(code for facedetection，the performance is nice！ usage: I=double(imread c:Datagirl1.jpg )) detect_face(I) The function will display the bounding box if a face is found. )