5618626PSO-bp-MATLAB

基于kalman滤波的目标跟踪代码，用matlab实现了对目标的跟踪。(Kalman filter based target tracking code, matlab achieve the target tracking.)

DOA估计,可以实现基本的定位功能，方法较为简单，使用Matlab程序实现其算法(DOA estimation, you can achieve the basic positioning function, the method is relatively simple, the use of Matlab program to achieve its algorithm)

说明：  Modeling and simulation of longwall scraper conveyor considering operational faults (1)

说明：  双环控制，直流母线电压外环，电感电流内环预测控制，3kW光伏并网系统，无升压电路，增量电导法，逆变桥控制最大功率追踪，亲测可用。(DC bus voltage outer loop, inductance current inner loop, 3KW photovoltaic grid connected system, no boost circuit, incremental conductance method, inverter bridge control maximum power tracking, available for pro test.)

说明：  LCL型有源电力滤波，对于研究有源电力滤波的同学，可以参考学习(LCL type active power filter can be used for reference)

源码是MATLAB7.0在图像处理中的应用这本书中的应用实例一：小波图像分解与合成，有关haar小波的，主程序中需要做少许改动运行会成功（可以参照书来改动）。(Source is MATLAB7.0 in the image processing application example in this book I: Wavelet image decomposition and synthesis, the haar wavelet, the main program needs to be done a little change in the run will be successful (you can refer to the book to change).)

用MATLAB的GUI设计的一个计算器程序，可在次基础上形成更复杂的算法，并学习GUI的设计技巧！(Using MATLAB)

MATLAB Code : For MATLAB programmers, this code is to implement the tracking algorithm of a Radar, in the Matlab environment

对于InSAR 系统,当波长较长时,干涉图条纹频率较低,相位解缠容易,但反演的高程精度较低 而当波长较短时,干涉图条纹频率较高,相位解缠困难,但反演的高程精度较高. 为了充分利用多波段 InSAR 干涉相位之间的互补信息,设计了利用中国余数定理的多波段InSAR 相位解缠方法,采用由DEM 仿真的多波段干涉图进行了相位解缠实验,得到了理想的解缠结果,成功解决了因地形起伏较大或基线较长而引起的干涉相位欠采样处的相位解缠难题.(For the InSAR System熏when the wavelength is longer熏the frequency of fringes will be lower熏the phase unwrapping will be easier熏and the accuracy of derived heights will be lower. However熏when the wavelength is shorter熏the frequency of fringes will be higher熏the phase unwrapping will be more difficult熏and the accuracy of derived heights will be higher. In order to make the best use of compensatory information in multi鄄band InSAR phases熏the phase unwrapping algorithm with the Chinese Remainder Theorem for multi鄄band InSAR is designed. The multi鄄band interferograms simulated from DEM are applied to do phase unwrapping experiments. The satisfying phase unwrapping results are obtained. The difficulty in phase unwrapping of sub鄄 sampling interferometric phases due to great hypsography or longer baseline is removed.)

MATLAB编程经典教程，中文译本，简单易懂(MATLAB programming classic handbook, Chinese translation, easy to understand)