suoxiao

利用cookies控制的百度发帖机源代码。很久之前做的。大家可以参考一下(The control of the use of cookies Baidu posted machine source code. Long ago to do. We can refer to)

说明：  程序中 时间结点错开了一个位子； （2）没有注意保存中间结果，程序画出的只是之后一个小时间段结果。(Staggered in time node program a seat (2) lack of attention to hold intermediate results, the program just to draw a small period of time after the results.)

自适应滤波中的一个比较有名的方法，为学习者提高编程能力！(matlab adaptive filter！)

运用小波变换的方法对脑电数据进行处理，进行脑电信号分解和信号重置(Wavelet transform EEG data processing, EEG decomposition and signal reset)

基于小波变换的图像增强算法,我从专业数据库上下载的，应该有用(Based on wavelet transform image enhancement algorithm, I download on from the major databases, it should be useful)

波束域降阶Root-MUSIC算法,在子阵分解降阶的基础上,进一步将多项式的求根阶次降到与源数目相同,提出了求解降阶多项式的方法。该方法最大程度地减少了求根多项式的阶次和求解多项式的次数,并保持了Root-MUSIC算法的优良性能。显著降低运算量是其最大优点,仿真结果验证了降阶算法的有效性,并比较了不同阶次波束域Root-MUSIC算法的估计性能。 (Beamspace Reduced Order Root-MUSIC algorithm, based on the reduced-order sub-array decomposition further order of the polynomial rooting down with the same number of sources, proposed to solve the reduced-order polynomial method. This method minimizes the number of polynomial order and solving polynomial rooting and maintain the excellent performance of Root-MUSIC algorithm. Significantly reduce the amount of computation is its biggest advantage, simulation results show the effectiveness of the reduced-order algorithm, and compare the performance of different estimates of the order beamspace Root-MUSIC algorithm.)

一种应用牛顿迭代法的MATLAB源程序 解决的是方程求根的问题(A MATLAB application of Newton iteration method to solve the source problem of finding roots of equations)

可以用于预测的小波分解下的多元线性回归,对于径流预测有效(wavelet mlr)

本代码实现了通过模糊控制进行倒车的例子，可以完美运行，是智能控制方面学习的好资料。(The code examples performed by reversing the fuzzy control, can perfectly run, is good information intelligent control aspects of learning.)

该函数用于二维曲面拟合，能拟合出f=（x，y）的函数图形。(Gridfit is a surface modeling tool, fitting a surface of the form z(x,y) to scattered (or regular) data. As it is not an interpolant, it allows the existence of replicates in your data with no problems.)