procSARdata_DBS

to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate

The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.

ART1自适应谐振网，已经通过测试，分类性能良好并且准确，此程序已经完成了运行，希望大家好好利用(ART1 adaptive resonance network, has passed the test, the classification performance is good and accurate, this program has completed running, I hope you make good use of)

这个代码是用matlab编写的m２hd算法的实现(this code is used in the preparation of Matlab algorithms achieve m2hd)

hartley计算机视觉中，利用对极几何和极线原理，求取图像之间的匹配，实现摄像机自标定，里面有对应的pdf文件原理说明(Hartley s Computer Vision in the multi-view geometry program, contact the three-dimensional reconstruction of the pole geometry and take pole lines, and camera self-calibration, which has a corresponding program and pdf files)

对偶单纯形法matlab程序，可以显示每步计算步骤，方便初学者理解单纯形法。(Dual simplex method matlab, can display every step calculation steps for beginners to understand the simplex method. )

practica 3 sistemas lianelas

这是用matlab实现无约束优化线性规划\非线性规划等规划问题的基本实现例子(This is achieved using Matlab unconstrained optimization linear programming planning nonlinear programming problem is the basic Examples are)

Good Document on Fuzzy Control

说明：  线性方程组的数值解法高斯消元法包括列主元消元法和高斯简顿消元法MATLAB环境编程实现线性方程组的解(Numerical Solution of Linear Equations Gaussian elimination method,including the mainelement elimination method and Gauss Jane Dunxiao element method.MATLAB environment,programming solution of linear equations)