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Face Detection using AdaBoost

智能天线自适应算法的研究，比较了LMS、RLS和MVDR三种算法的性能。(Smart antenna adaptive algorithm study to compare the performance of the LMS, RLS and MVDR three algorithms.)

自己编写的简单emd分解，能够将信号分解成几个imf分量(I have written a simple emd decomposition, the signal can be broken down into several IMF component)

简支梁受各种力综合作用的剪力，弯矩计算及图形绘制(By the comprehensive function of simply supported beam power of the shear and moment calculation and graphics)

This Toolset comprises of the following files: 1) RunTutorial.m Runs and publish in html format the Tutorial.m file. 2) Tutorial.m A quick reference tutorial for the DE_TCR algorithm. 3) DE_TCRparam.m Generates the required parameters to run the DE_TCR algorithm. 4) DE_TCR.m Runs the optimization algorithm. This code implements a version of the DE_TCR algorithm described in: G. Reynoso J. Sanchis X. Blasco Juan M. Herrero. Hybrid DE Algorithm With Adaptive Crossover Operator For Solving Real-World Numerical Optimization Problems. In IEEE Congress on Evolutionary Computation. CEC 2011. (ISBN 978-1-4244-7833-0). New Orleans (USA). June 2011. 5) LocalSearch.m Runs the Local search routine. 6) CostFuntion.m The cost function to optimize

基于自适应扩展单元的微微小区无缝覆盖,针对60GHz RoF微微小区，提出了一种新的基于自适应扩展单元的切换方案。(Picocell seamless coverage based on adapting extended cell)

export To Zip Identifies file

Diversity Techniques over Fading Channels Equal Gain Combining

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)

粒子群算法的matlab代码，w是随迭代次数增加而线性递减的(particle swarm optimizer)