Lab3

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

用于关联成像（鬼成像）的一维仿真模拟matlab程序源码。(One-dimensional simulation matlab program source code for the associated imaging (ghost imaging).)

Duffing系统分岔图与Poincare截面绘制(Duffing bifurcation diagram and Poincare section drawing)

蚁群算法是受真实的蚂蚁群体行为启发而得出的一类仿生算法。采用蚁群算法，设计好蚁群系统，利用MATLAB进行仿真，解决函数优化问题。(Ant colony algorithm is inspired by real ants swarm behavior and it is concluded that the category of bionic algorithm. Using ant colony algorithm, design good ant colony system, use of MATLAB simulation, to solve the function optimization problem.)

用pnn或gbl进行码书设计，用aei进行码字搜索的MATLAB源码。(Pnn or carried out by gbl codebook design, aei codeword search for the MATLAB source code.)

matlab图像处理实例详解chap13——小波在图像处理中的应用(matlab image processing examples explain chap13- Wavelet in Image Processing)

Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency

使用迁移学习和稀疏编码来实现不同领域之间的适配，是一种基于特征表示的迁移学习(This method is designed for image clustering and classification and called sparse subspace clustering.)

NEWTON-RAPHSON求解一个连续方程，f（X）=0，前提给一个初始值( NEWTON-RAPHSON ALGORITHM 2.3 To find a solution to f(x) = 0 given an initial approximation p0: INPUT: initial approximation p0 tolerance TOL maximum number of iterations NO. OUTPUT: approximate solution p or a message of failure)

matlab的一些学习资料和matlab的部分经典源码()