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赫尔辛基科技大学有关于盲信号去噪的的matlab工具箱，非常好用。希望对大家有用(about the denoise matlab blind source separation from hitu。it is very cool got it!)

讨论了多变量灰色预测模型的算法,给出多变量灰色预测模型的Matlab程序.通过实例说明算法程序的应用和效果. 更多还原 (Algorithm discussed multivariable gray forecasting model, gives the Matlab program multivariable gray forecasting model by examples illustrate the application and effectiveness of the algorithm of the program. More reduction)

这是薛定宇的经典书籍：高等数学问题的MATLAB求解~非常有用，非常详细，欢迎大家下载~(This is of Xue Dingyu the classic books: MATLAB higher mathematics problem solving to be very useful, very detailed, welcome to download to)

一个二维静电场，电位函数为φ（x, y），将正方形分成25个正方形网格。有16个内部网格点。假定16个网格点的初值都定为零，试用超松弛法确定16个内部网格点的电位值。(A two dimensional electrostatic field, the potential function for phi (x, y), the square into 25 square grid. There are 16 internal grid point. Assume that 16 mesh point of initial value at zero, trial overrelaxation method to determine the potential value of 16 internal grid point.)

Free Space Path Loss Model

演示了mallat算法的实现过程，包括分解与重构，原始波形用的是两个不同频率的正弦函数(Mallat algorithm demonstrated the realization of the process, including the decomposition and reconstruction, with the original waveform are two different frequency sine function)

Block-interleaver/deinterleaver according to the IEEE 802.11-2007 Defined by two step-permutation : The first permutation ensures that adjacent coded bits are mapped onto nonadjacent sub-carriers. The second ensures that adjacent coded bits are mapped alternately onto less and more significant bits of the constellation and, thereby, long runs of low reliability (LSB) bits are avoided. Tested and works well

its an cdma transmiiter which is very easy and simple for beginners.

说明：  此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)

A Fast Algorithm for Total Variation based Deconvolution