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An Matlab implementation neural program

本程序提供了5种多项式求值的思想，并有相互比较的效果，用matlab语言写的(This procedure provides a value of 5 Polynomial thinking, and comparison between the effect of written language with matlab)

比较详细地介绍了一些滤波算法,基于C语言实现(A more detailed description of a number of filtering algorithm, based on the C language)

灰色无偏GM（2,1）模型源代码 需要利用搜索工具箱求解参数(Unbiased Grey GM (2,1) model of the source code need to use the toolbox to solve the search parameters)

使用随机方法计算Frobenius模并比较多种逼近方式的误差大小。(Calculating Frobenius norm using random method.)

精通Matlab的部分例子，较为全面包含了matlab的基础应用(Proficient in matlab code)

fastica 的 语音分离 在matlab上的经典实现(Speech Separation fastica in matlab to achieve the classic)

粗糙集的基本算法，包括数据补齐，属性约简，值约简，规则生成，非常实用。(Rough set theory is a new mathematical approach to imperfect knowledge. The problem of imperfect knowledge has been tackled for a long time by philosophers, logicians and mathematicians. Recently it became also a crucial issue for computer scientists, particularly in the area of artificial intelligence. )

二维多信号检测算法，即2dmusic算法，用于侧向的二维算法(2dimensional multisignal doa )

凯撒窗的产生，包括高通，低通和带通，以及窗的长度和系数(Kaiser window production, including high-pass, low pass and band-pass, and the window length and coefficients)