Pattern-recognition-inautomatic

说明：  一种基于PN训练序列的OFDM时频同步的新算法。通过构造倒序结构的同步训练序列(PN training sequence based on the OFDM time and frequency synchronization of the new algorithm. Structure by constructing a reverse synchronization of training sequences)

matlab开发环境下进行动画显示的相关函数集合，对学习动画显示有较大帮助(matlab animation development environment for the correlation function of the collection, to learn the animation show a greater help)

预测控制中在滚动优化时是非常重要的环现在只考虑一步预测时的的程序(Predictive control in the rolling optimization in when the ring is very important when considering only step now predict the program )

说明：  利用matlab编程进行参数检验，点估计，区间估计，以及非参数检验(Using matlab programming parameter testing, point estimation, interval estimation, as well as non-parametric test)

Verilog语言求解均方根的近似方法，用MATLAB仿真实现，思想可移植到FPGA中(Verilog language rms approximate solving method, using MATLAB simulation, ideas can be transplanted into the FPGA )

该程序建立了格斗空战中本机和目标在进行尾追攻击时的三维态势图。(The program established a three-dimensional figure fighting combat situation in the machine and the target of attacks during the chase.)

介绍了matlab电力系统的仿真与分析的基本知识(Basic knowledge of matlab power system simulation and analysis)

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.)

Bi-variant distribution

DCT embedding and extraction