IG-based-wind-turbine-model

二维图像处理，高光谱图像插补 Matlab 程序(hyper-spectral image processing )

数学建模LINGO软件学习教程1，对数据优化极大值求解有独特算法(Software learning tutorial )

In accelerometric data, an unwanted drift is observed due to the transducer, strain accumulation, ... This leads to unrealistic values of the final displacement after an earthquake. Baseline correction is the solution to acquire reliable estimates of acceleration, velocity and displacement.

小波三种阈值去噪的方法，硬阈值，软阈值，半软阈值去噪(Three kinds of wavelet thresholding methods, hard threshold, soft threshold, semi-soft thresholding)

matlab automatic controls1

matlab实例，有限元方程建立求解，内包括fem和具体实例(matlab example, finite element equation to solve, including specific examples and fem)

....瑞利平坦衰变信道.doc ....channel_model ....AS2sigma_gaussian_90.mat ....AS2sigma_gaussian_180.mat ....AS2sigma_laplacian_90.mat ....correlation.m ....dialog.m ....erfcomp.m ....geometry2correlation.m ....Rxx_gaussian.m ....Rxx_laplacian.m ....Rxy_gaussian.m (.... Rayleigh flat decay channel. Doc .... channel_model .... AS2sigma_gaussian_90.mat .... AS2sigma_gaussian_180.mat .... AS2sigma_laplacian_90.mat .... correlation.m .... dialog. m .... erfcomp.m .... geometry2correlation.m .... Rxx_gaussian.m .... Rxx_laplacian.m .... Rxy_gaussian.m)

这是MATLAB 的一个最新应用，相信可以为现在在写论文的朋友有一点帮助(This is one of the latest applications MATLAB, I believe can now write essays in Friend have a little help)

All five matlab file relate to the cluster structure of wireless sensor network. LEACH, BCDCP, ERP, HEED and so on are very helpful to do the simulation.

The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.( The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n.)