LBM-two-phase

基于Matlab的人工势场法下路径规划与避障(Path planning and obstacle avoidance under artificial potential field based on Matlab)

Files in matlab source code for watermarking techniqe

该CBBA(Consensus-Based Bundle Algorithm)算法可以解决带有任务属性、任务价值、任务时间窗等多种约束下的任务分配问题，结果以图形化展示，便于理解。(CBBA is a decentralized market-based protocol that provides provably good approximate solutions for multi-agent multi-task allocation problems over networks of heterogeneous agents.)

目前软件的发展速度非常快要提高软件的质量和生产率Q&P 必须要有一 个非常正确的过程而目前进行过程优化和进行评估的最好的方法就是性能成熟模型 CMM 本书作者是Infosys公司的副总裁主管质量也是将此公司从ISO过渡到 CMM四级的主要人员之一他在本书中讲述了在Infosys公司所使用的不同的技术和管 理方法更重要的是描述了过程生命周期的不同阶段及所有影响项目进展的过程它 以Infosys公司的具体操作过程为例对想使用CMM的公司非常有帮助(CMM IN PRACTICE)

本程序 是M进制PSK调制方式的仿真程序，是最基本的学习MPSK的材料(This procedure is the M-band PSK modulation of the simulation program, is the most basic learning materials MPSK)

this m file make unique comparison between MVDR, SMI and DMR methods for adaptive array processing. the focus is in estimating the PDF function of the normalized SNR

plot googlemap in matlab

文章介绍了某些结构优化算法，可以给初学者提供参考。(The article describes the structure of the optimization algorithm can give beginners some reference.)

An interactive peak fitting program for time-series signals, written as a self-contained function in a single m-file.

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)