find_line

说明：  该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比(The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can be a very good signal to noise ratio is estimated)

数学建模中经常用到的23个经典算法，包括文档说明和相关代码。(23 classical algorithm often used in mathematical modeling, including the documentation and code.)

提取信号的小波细节系数，对原始信号进行3层分解，分别提取每一层信号的细节系数。(To extract the signal wavelet detail coefficients of the original signal is 3 layers of decomposition, respectively to extract the signal the detail coefficients of each layer)

本文利用MATLAB的遗传算法工具箱，对弦长和扭角沿风力机展向分布进行优化，得到设计工况下的最优叶片设计。目标函数是设计工况下基于动量叶素理论和Glauert等修正所得出的功率系数。在设计工况下得到的设计结果，其功率系数在一定的风速范围内都能保持一个较高的数值，同时其有效攻角分布大致都在所选翼型的升力与阻力系数的比值最大处，与理论相符合。其结果说明该优化实际的有效性。(In this paper, the use of MATLAB genetic algorithm toolbox, chord length and twist angle along the wind turbine development to distribution optimized to obtain the optimal design conditions blade design. The objective function is to design conditions based on the results of momentum blade element theory and Glauert correction power factor. Design results in the design conditions, the power factor within the range of wind speeds can maintain a higher value, the effective angle of attack distribution substantially in the the selected airfoil lift and drag coefficient ratio of maximum , theoretical analysis and show. The results indicate the validity of the actual optimization.)

这个程序关于语音消噪，实现了一个基于最小均方误差算法的二阶自适应噪声对消器(This program concerning speech denoising achieve a minimum mean square error algorithm based on second-order adaptive noise cancellation)

matlab Harris 数字图象处理讲义(matlab Harris Digital image processing)

详细讲述了如何利用matlab编写neville插值算法，并且还有相关的matlab命令(Describe in detail how to use matlab to write neville interpolation algorithm, and there are associated matlab command)

二维fdtd远场分布二维fdtd远场分布(fdtd,2dfdtd,2dfdtd,2dfdtd,2d)

SIMULATION ON MATLAB AND VISUAL SERVOING

8 functions for histogram thresholding: intermeans, iterative intermeans, intermode, minimum, minerror, entropy, triangle and moments.