1

本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解，以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍，并对各种方法进行了Matlab编程实验，得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序，非常适合初学者学习与研究。(The resources are mainly in the matrix decomposition LU decomposition, LDL decomposition, Cholesky decomposition, and unconstrained optimization field steepest descent method, Newton s method, the principle of quasi-Newton methods, procedures and algorithms are briefly introduced, and various methods of Matlab programming experiment, get a better result. This resource contains a matrix decomposition and unconstrained optimization methods Introduction to the principles and applications which uses all the documents and Matlab program, ideal for beginners learning and research.)

机动目标“当前”统计模型及其自适应算法的仿真程序，包含与Singer模型的对比，周宏仁一书第八章上有理论内容。(kalman filter, Singer Model, self-adjusting algorithm)

说明：  用Matlab语言实现的矢量量化编码源程序(Using Matlab language source code for vector quantization)

Covariance Matrix Adaptation CMA-ES

使用matlab提取hsv颜色特征 这里是其源代码(use matlab to extract the hsv feature)

说明：  基于计算机视觉的手势识别研究——硕士论文(Computer vision-based gesture recognition- pp)

使用Matlab研究现代通信的教材 附有Matlab源程序 适合各类学习通信系统的人员学习(contemporary communication systems . using Matlab)

Kalman filter program

target tracking in radar application(in radar target tracking application)

一种新的图像清晰度评价函数,该函数对经典采用八方向模板Sobel边缘检测算子来检测梯度值(a clarity-evalua tion function was researched. An improved eight model Sobel function was proposed,)