BP_MIMO

matlab 高等数学技术研究，适合初学者学习(matlab mathematics technology, suitable for beginners to learn)

多种曲线拟合牙齿轮廓,有最小二乘法，beizer曲线，Newton插值，拉格朗日插值法……(interpolation to contour teeth)

以输入和输出信号的统计特性的估计为依据，采取特定算法自动地调整滤波器系数，使其达到最佳滤波特性的一种算法或装置。自适应滤波器可 自适应滤波器 以是连续域的或是离散域的。离散域自适应滤波器由一组抽头延迟线、可变加权系数和自动调整系数的机构组成。(The input and output signals of the statistical properties of the estimators for the basis, take the specific algorithm automatically adjusts the filter coefficients, so as to achieve the optimal filter characteristics of an algorithm or device. Adaptive filter adaptive filterIs continuous or discrete domain domain. Discrete domain adaptive filter is composed of a group of tapped delay line, a variable weighted coefficient and automatically adjust the coefficients of the mechanism.)

这是清华大学周红星教授关于时频分析的精彩论述！(This is the Tsinghua University, Professor Zhou Hongxing on time-frequency analysis of the wonderful discussion!)

功能描述：用matlab语言实现RLS自适应算法 函数名：RLS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)lamda:遗忘因子 (4)xn:LMS算法的输入序列 输出参数： (1)系数矢量A 调用函数：无 被调用： 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 (Function Description: The RLS adaptive algorithm matlab language function name: RLS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) lamda: forgetting factor (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A call the function: No to be called: of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )

用matlab实现了彩色图像的缩放，采用的是双线性插值算法！(Matlab achieved using the zoom color images, using bilinear interpolation algorithm!)

K-means聚类算法，用于文件、数据的聚类分析(K-means clustering algorithm for document clustering analysis of the data)

这是基于基本遗传算法的函数最优化的matlab程序(This is based on a function of the basic genetic algorithm matlab optimization procedures)

说明：  图像二值化经典算法最大类间方差法的matlab程序。(Algorithm for image binarization classic Otsu method matlab program.)

支持向量机的matlab代码，根据自己需要修改即可(Support vector machine matlab code can be modified according to their needs)