Field_II_GUI

混合高斯模型EM算法,对数据样本进行归类(EM algorithm by mixture gaussian model, calssify the data samples)

扩展的空间调制，打破了传统空间调制技术发送天线数目必须是2的幂数的限制，提高了频谱利用率。(The extented spatial modulation breaks the constraint of the traditional spatial modulation in which the number of the transmit antenna must be a power of 2 enchancing the spectrum efficiency.)

说明：  matlab求解vrpsd问题,解压可运行(HGA-for-VRPSD, The VRP is a well known integer programming problem which falls into the category of NP Hard problems, meaning that the computational effort required to solve this problem increases exponentially with the problem size.)

Designing of Spring mass system

24G高集成度微波雷达芯片,一发二收，可组成阵列天线，数据处理后精度可达mm级(24 GHz transceiver MMIC with one transmitter and two receiver units • Fully integrated low phase noise VCO • Switchable prescaler with 1.5 GHz and 23 kHz output • On chip power and temperature sensors • Gilbert based homodyne quadrature receiver • Single ended RF input terminals)

说明：  利用simulink编写的信号产生程序，对学习simulink有一定的帮助作用。(signal builder)

拥有matlab用户界面的卡尔曼滤波程序，matlab-kalman-GUI,有注释，有三个sample供大家学习，可以作为理解设计各种kalman滤波器的开发导航，对学习研究有借鉴价值。还加了一些我最开始上手学习kalman滤波的文档，希望对大家有所帮助。（无密码）(user interface with Matlab Kalman filtering procedures, Matlab-Tracking- GUI, Notes, for all three sample study, can understand the design of the Kalman filter navigation development, a study on the reference value. Also added some handcuffed, I started learning the most Kalman filtering documents, we hope to help. (No password))

RX graphical example to better understand the difference between ST IR block output and standard definition used by LIRC.

python实现股票预测，用AR模型实现股票走势跟踪(python achieve stock forecasting, using AR model implementation tracking stock movements)

Matlab是一个很好的大型数值计算软件。解释型的程序执行、即时的调试窗口、高效的矩阵运算、丰富的工具箱,使它成为了数值计算和科研工作的必备软件。虽然Matlab具有众多的优势,可是它的程序却很难完全摆脱Matlab环境运行,在界面功能上也效率低下,这些缺点我们在使用Matlab的同时,不免担忧自己的成果不能方便地对外发布。对Matlab的运行方式进行了分析,之后提出了Matlab和VC高级语言之间混合编程的方法,以及Matlab程序独立打包和如何提高Matlab程序的界面运行效率的方法。 更多还原 (Matlab is a nice large numerical software. Explain the type of program execution, real-time debug window and efficient matrix operations, rich toolbox, making it the numerical calculations and research work necessary software. Although Matlab has many advantages, but it is difficult to completely get rid of the program running Matlab environment, the interface functions inefficient, these shortcomings in the use of Matlab while we can not help but worry about their results can not easily be released. For Matlab operation mode are analyzed, and then propose a hybrid programming approach between Matlab and VC-level language, and Matlab program independent packaged and how to improve the operational efficiency of the Matlab interface procedures. More Restore)