Basic_MUST_952_Q_Q

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.

matlab programs for the lab experiments

稀疏分解图像重建程序，把图像分解成多个小块图像，然后再各个子块重建后边缘处理后合并成整个图像。(sparse decomposition image reconstruction process, the image is divided into a number of small images, then each sub-block redevelopment edge after the merger into the whole image.)

数字图像处理课程上机实验3_Matlab邻域平均法 和中值滤波法（matlab代码全）(Digital Image Processing courses on experiments 3_Matlab neighborhood average and median filtering method (matlab code full))

K-means++算法实现，加强了初始聚类点的选取（careful seeding）(K-means++ algorithm to enhance the selection of the initial clustering points (careful seeding))

对森林生态系统的动力学仿真很有用的东西值得大家学习学习(On the forest ecosystem dynamics simulation is useful to learn something worth learning)

曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法基于USFFFT，可以更高效的进行去噪(Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm based on USFFFT, can be more efficient denoising)

一种智能优化算法-粒子群算法的matlab源程序(particle swarm)

椭圆滤波器C程序和matlab的仿真m文件，根据matlab仿真设计椭圆滤波器参数，再编写C程序(C program of ellipsefilter)

非线性最小二乘优化问题以误差的平方和最小为准则来估计非线性静态模型参数的一种参数估计方法。设非线性系统的模型为y=f(x，θ)，常用于传感器参数设定。(64/5000 A parameter estimation method based on the minimum sum of squares of errors. Suppose that the model of the nonlinear system is y=f(x,), which is commonly used for sensor parameter setting.)