DLA_simulation

本文论述了图像压缩技术的发展和标准, 介绍了几种常用经典图像压缩方法和现代压缩的算法及应用情况, 有 机的结合现有的研究方法才能解决图像压缩的众多问题。(This article discusses the development of image compression technology and standards, the authors introduced some classic and modern compression image compression algorithm and application of organic methods combined with the existing image compression can be resolved many issues.)

this zip when released for the applications of modeling of some severe body mechanical sudies inorder to be able to tackle some hard mechanical issues in the doamin of aerodynamics

a new circuit topology of a phase-locked loop that can be used for synchronising a singlephase wind turbine generator (WTG) with the low voltage utility grid. The circuit is based on the time-delay digital tanlock loop (TDTL) architecture and was modelled and simulated using Simulink/MATLAB. The results presented demonstrate the ability of the circuit not only to synchronise a WTG with the grid, but also to re-gain synchronization following a sudden disturbance in the grid voltage. The simulated disturbances included a ramp and a multi-step change in the phase of the grid voltage waveform.

说明：  燃料电池 simulink仿真模型，主要用于燃料电池系统仿真(fuel cell simulink models)

阵列信号，16阵元，3信源的线阵条件下的线性预测算法(Array signal, 16 array, 3 sources of linear conditions, the linear prediction algorithm)

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.)

Practical.Programming.In.Tcl.And.Tk,Tcl/Tk脚本语言最经典的教程,此为第四版(Practical.Programming.In.Tcl.And.Tk. Tcl/Tk scripting language classic handbook, which is the fourth edition)

采用bp神经网络对函数y=sin（x）进行训练，然后用测试集对训练的函数进行测试，也就是函数逼近sin（x)的曲线(Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve)

This folder contains several codes which are about energy detector.

matlab code for pso Particle Swarm Optimization Research Toolbox