super-MATLAB

基于互信息熵的图像配准方法，其中包括图像配准的程序，还有程序运行的界面，对于初学图像配准或者利用MATLAB做GUI界面的同学有所帮助(Entropy based on mutual information image registration methods, including image registration procedures, as well as run the interface, image registration for the novice or the use of MATLAB GUI interface to do help the students)

This is a matlab version of 3D MSER, while VLFEAT library is required.

别人的测试泊松融合代码，亲测可用。。不过效果不怎么好(possion fusion)

超宽带通信的仿真源程序，应该比较好使，请试一试(Simulation of ultra-wideband communications source, should be more so, please try)

Optimum array processing 最优阵列处理技术 第三章 线性阵列和孔径的合成的MATLAB程序 DOA MUSIC ESPRIT(Optimum array processing DOA MUSIC ESPRIT)

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.(particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.)

求解静压径向轴承中油膜压力分布的数值计算核心程序(Solving hydrostatic radial bearing oil film pressure distribution in the core program of numerical calculation)

esprit 旋转不变技术来估计波达方向 最基本算法，能估计出波达方向，但特征值较难估计，有误差，按照现代通信原理最基本算法matlab编码。(esprit ESPRIT DOA estimates the basic algorithm can estimate the DOA, but difficult to estimate eigenvalues, margin of error, according to the basic principles of modern communication matlab coding algorithm.)

藕联水罐的pi前馈控制 matlab源程序 simulink(coupled tanks pi control matlab simulink)

LCMV优化设计阵列处理信号，本科毕设要求参见标准测试模型，在matlab R2009b调试通过，包含特征值与特征向量的提取、训练样本以及最后的识别，BP神经网络用于函数拟合与模式识别。( LCMV optimization design array signal processing, Undergraduate complete set requirements refer to the standard test models, In matlab R2009b debugging through, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, BP neural network function fitting and pattern recognition.)