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自适应滤波，用LMS算法做的，供大家参考(Adaptive filter, LMS algorithm used to do, for your reference)

用wolfe-powell准则求解问题。具体实例用c++语言给出。(-use Wolfe-Powell method to solve the problem)

This derivation of the normalised least mean square algorithm is based on Farhang- Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm we consider the standard LMS recursion, for which we select a variable step size parameter, μ(n). This parameter is selected so that the error value , e+(n), will be

以生存性、最小生成树数目和介数评价网络节点的重要性。(Survivability, the number of minimum spanning tree and the number of referrals to evaluate the importance of the network nodes.)

针对当前存在的大量数值型数据，将连续型数据离散化，有利于计算机直接处理变量。(In view of the existence of a large number of numerical data, the discretization of continuous data is conducive to deal directly with the variable computer.)

Matlab allows the use of MEX files –MEX files are pre-compiled files that are called from Matlab –Can be compiled from Matlab .m files –Can also be compiled from external C++ code. • This will be our focus

程序1实现线性相位FIR低通滤波器； 程序2实现线性相位FIR高通滤波器； 程序3实现用kaiser窗实现带通滤波器。(Program to achieve a linear phase FIR low-pass filter Program 2 for linear phase FIR high-pass filter Program 3 Achieved bandpass filter with a kaiser window)

离散版粒子群算法,MATLAB环境中的,对求解离散优化问题很有帮助.(Discrete version of PSO, MATLAB environment to solve the problem of discrete optimization helpful.)

reconocimiento de rostros

对模型参考自适应进行仿真，并且给出控制算法的改进(The model reference adaptive simulation, and gives the control algorithm )