YuYanTuXiangJiaoZheng

说明：  本书系统介绍MATLAB遗传算法和直接搜索工具箱的功能特点、编程原理及使用方法。全书共分为9章 第一章至第四章介绍遗传算法的基础知识第五章至第七章介绍英国设菲尔德大学的MATLAB遗传算法工具箱及其使用方法 第八章和第九章介绍MathWorks公司最新发布的MATLAB遗传算法与直接搜索工具箱及其使用方法(This book systematically introduce MATLAB Genetic Algorithm and Direct Search Toolbox features and how to use programming principle. Chapter book is divided into 9 chapters I to IV to introduce the basics of genetic algorithm to Chapter VII of Chapter V introduced the University of Sheffield MATLAB genetic algorithm toolbox and its use of Chapter VIII and IX MathWorks introduced the company The latest release of MATLAB Genetic Algorithm and Direct Search Toolbox and its use)

不完全数据分析MATLAB程序（部分信息重建）：最小均方估计、协方差矩阵、缺失值推测(Analysis of incomplete datasets: Estimation of mean values and covariance matrices and imputation of missing values)

标准的遗传算法优化最小二乘支持向量机，能很好的实现参数寻优功能(Standard genetic algorithm optimization least squares support vector machines, can achieve good functional parameter optimization)

这是一篇SCI文章《改善字典学习：多字典更新和系数重用》里的Matlab代码，包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码，是图像稀疏表示研究方向重要的源代码，有助于大家学习和改进。(This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse".It contains codes of the OMP, Batch code- OMP, CoROMP matching pursuit algorithm and improved K- SVD dictionary learning algorithm ,This is the important source code of image sparse representation ,which can help you learn and improve. )

LDPC BP译码算法在MATLAB中直接使用就行(matlab BP decoding)

求一维抛物线方程的全隐/显式格式离散方法的解法。matlab(Seeking a full-dimensional parabolic equation implicit/explicit solution form discrete methods. matlab)

在已知二维环境中的双向RRT路径规划算法，可用于移动机器人(Bidirectional RRT path planning algorithm in known environment)

说明：  matlab源码实现记忆多项式模型的功放建模(Memory polynomial model power amplifier )

The construction of Auditory Images and Mellin Images in the auditory pathway

SCON计算工具.rarSCON calculation tool. RarSCON calculation tool. RarSCON calculation tool. Rar(SCON calculation tool. RarSCON calculation tool. Rar)