Alamouti-STBC

本文通过理论分析，仿真实现了模拟退火算法。(Through theoretical analysis, simulation to achieve a simulated annealing algorithm.)

声子晶体平面波展开的程序，其中参数可以自己设定，直接可用！(Phononic crystal plane wave expansion of the program, where the parameters can be set directly available!)

Abstract: By using gateway systems on large 32-bit platforms, networks of small, 8- and 16-bit microcontrollers can be monitored and controlled over the Internet. With embedded Linux, these gateways are easily moved from full-blown host PCs to embedded platforms like the PC104. In this class you will learn about hardware platforms that support embedded Linux, Linux kernel configuration, feature selection, installation, booting and tuning.

自己做的一个项目的处理程序： 实现大量数据的格式读取，分割处理，并按要求的行以一定的函数进行运算，把要求的行的数据与时间画出变化曲线(A project of their own procedures for handling: achieving a large amount of data format to read, be dealt with separately in accordance with the requirements of the line to a certain degree of function computation, the data requirements and time line to draw curve)

用matlab分析传统光学系统中加入三次相位掩模板之后所获得的光线像差(Analysis using matlab conventional optical system by adding three phase mask obtained after the aberration of light)

非线性最小二乘法Matlab实现 f=x(1)*K^x(2)*L^x(3)-b Cobb-Douglas生产函数(Matlab nonlinear least square method to achieve f = x (1)* K ^ x (2)* L ^ x (3)-b Cobb-Douglas production function)

说明：  在前面1维，2维的基础上继续推出3维的FDTD程序，可以帮助解决复杂的3维电磁散射问题，适用范围更广。这个程序给出计算要求的参数即可运行。(in front of one-dimensional, two-dimensional basis continue to offer three-dimensional FDTD procedures, which can help to solve the complex three-dimensional electromagnetic scattering problems, which have wider applicability. This procedure gives the parameters computing requirements can run.)

说明：  此文件包含用G-N法，修正G-N法，L-M法，Lsqnonlin求解非线性最小二乘优化问题MATLAB源代码，请大家参考(This file contains the method with the GN, GN law amendment, LM Law, Lsqnonlin MATLAB nonlinear least squares optimization source code, please refer to)

高阶滑膜时变滑膜仿真,应用于非线性控制，还有绘图程序，对状态约束更强(When high-end simulation synovial synovium becomes applied to nonlinear control, as well as a drawing program, a stronger constraint on state)

Blind Source Separation (BSS) is a statistical approach to separate individual signals from an observed mixture of a group of signals. BSS relies on only very weak assumptions on the signals and the mixing process and this blindness enables the technique to be used in a wide variety of situations.