一个可用的高光谱数据处理基本算法例程代码

此程序是基于怎样消去海杂波的影响，而设计的。自己编写，调试成功，很好用(This program is designed based on how to eliminate the impact of sea clutter. Their own to write, debug, easy to use)

实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。 对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。 深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。 利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。 (SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification.)

说明：  UKF无迹卡尔曼滤波算法用于状态参数估计，测试可用(UKF trackless Kalman filter algorithm is used for state parameter estimation)

实现rgb图像到raw格式的image的转化。(it can use to change the rgb image into raw image.)

apllication of ukf in radar tracking

能够检测异常值 数据降维 特征提取 鲁棒主成分分析方法(Robust PCA)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcoming of the steepest descent method and avoids the need for the Newton method to store. And the disadvantage of calculating the Hesse matrix and inverting, the conjugate gradient method is not only one of the most useful methods for solving large linear equations, but also one of the most effective algorithms for solving large-scale nonlinear optimization. Among various optimization algorithms, the conjugate gradient method is a very important one. The advantage is that the required amount of storage is small, step convergence, high stability, and no external parameters are required.)

用matlab编写的，有限元三维梁单元的单元刚度矩阵计算程序，各节点6个自由度。(prepared by the three-dimensional finite element beam element of the element stiffness matrix calculation program, the 6-DOF nodes.)

本程序应用了混沌序列作为伪码生成器对直接扩频系统进行了仿真，并在多用户情况下作了仿真(the application procedures as a chaotic sequence of pseudo-code generator directly to the spread spectrum system simulation, Multi-user and the circumstances made Simulation)

基于模糊自适应控制算法在网络主动队列管理中的应用研究(Research of Active Queue Management in Network Based on Self-adjusting Controller Algorithm of Fuzzy)