TDOA2

Matlab simulate AMP.It covers that the source code and how to compile it(Matlab simulate AMP.It covers that the sou rce code and how to compile it)

matlab有限元分析工具箱，包含gui界面(Matlab finite element analysis toolbox, including the GUI interface)

Zhouzhiqiang的图像融合MATLAB源码，对应其2016年发表的论文Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters(Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters)

波数域算法又称为距离徙动算法（Range Migration Algorithm，RMA）或-算法，由Cafforio等提出。该算法分析距离处理后信号的二维频谱，通过二维频域匹配滤波进行相位补偿，在完成方位聚焦的同时完全校正距离徙动。由于其中的Stolt变换能克服SAR信号中距离徙动和SRC对斜距的依赖，因此波数域算法是一种理想的成像算法，尤其在处理大斜视角和长合成孔径的SAR数据时。但Stolt变换需要插值，降低了处理效率并引入额外的误差。(The wavenumber domain Algorithm is also called Range Migration Algorithm (RMA) or -algorithm, which is proposed by Cafforio et al.The algorithm analyzes the 2-d spectrum of the signal after the distance processing, carries out phase compensation through the 2-d frequency domain matching filter, and completely corrects the distance migration while completing the azimuth focusing.Because the Stolt transform can overcome the SAR signal range cell migration and SRC dependence on oblique distance, thus wavenumber domain algorithm is an ideal imaging algorithm, especially when dealing with large squint Angle and long synthetic aperture of SAR data.But Stolt transformation requires interpolation, reduces processing efficiency and introduces additional errors.)

说明：  研究智能算法的同学，可以参考这些例程学习(Students studying algorithms can refer to these routines)

Research paper for iris recognition this will be used for students who doing iris recognition.

改进之前做过的倒立摆控制程序，使用PP控制并分析其性能(Improvements done before the inverted pendulum control procedures, the use of control and analysis of its performance PP)

用matlab编的关于识别的例子，初学者可以(using Matlab series on the identification example, beginners can s)

matlab粒子群算法,自己好好看，不多解释。 (very good argith,please read your self.)

说明：  E4 tool for matlab, for modeling time series