iomux-mx3

说明：  一个用Matlab处理高光谱图像的程序工具箱，里面包含了处理高光谱图像的GUI工具箱，可以很方便的处理高光谱图像。(A hyperspectral image processing using Matlab toolbox program, which includes the processing of hyperspectral images GUI toolkit, can easily handle high-spectral images.)

说明：  dijkstra算法对于最短路问题的求解(Dijkstra shortest path algorithm for solving the problem)

Genetic multi-stage fuzzy PID controller with a fuzzy switch

事先计算图像的标准差，可以用来评判图像变换是否可信(Calculate the standard deviation of the prior image can be used to judge the credibility of image transformation)

说明：  BLDCM的simulink模型，电流、转速双闭环控制的无刷直流电动机系统，电机模块是自己封装而成的不是用的永磁同步电动机或者自带的BLDCM，所涉及的三个程序也有展示。(The model of BLDCM, the BLDCM system with double closed-loop control of current and speed,and the motor module is a self packaged permanent magnet synchronous motor or BLDCM, and the three programs involved are also shown.)

说明：  Matlab编程，可用于对二维图像进行处理，得到相应的轮廓图、Sobel边界图、柱状图等，可以进行灰度调整 (This program is used for 2D image.It can be used to give the outline,Sobel bounadry map and histogram of the image.Also,it can ajust the gray of the image.)

PSCAD学习资料，包括PSCAD实验指导、与Matlab接口实现以及PSCAD的相关交流与应用。(PSCAD learning materials, including the PSCAD experimental guidance, and Matlab interface and the related exchange and application of PSCAD.)

Solving Schrodinger for a quantom well

数学建模常用算法工具箱.......内附 详细说明(Commonly used mathematical modeling algorithm toolbox. Zip)

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)