watershed

自己编写的近邻法算法，包括k近邻法、两分剪辑和重复剪辑、压缩算法。在文档中给出了一个简单的算法原理说明，详细参考边肇的《模式识别》。注：里面的分类线绘制算法存在一些问题，仅供大家参考修改。(The nearest neighbor algorithm written by myself, including k nearest neighbor, the two sub-editing and re editing, compression algorithm. The document gives a simple algorithm principle . The detailed explanation can be found in the book Pattern Recognition written by Bian Zhaoqi. Note: The line drawing algorithms have some problems, only for your reference.)

自适应陷波器的仿真程序,初级入门的matlab仿真程序(Adaptive Notch Filter Simulation procedures, the initial entry of matlab simulation program)

Faddeev method made in Belarus

说明：  对sinc函数进行内插后的误差比较（matlab）(Of the sinc function interpolation error after the comparison (matlab))

一段基于自抗扰控制器的仿真代码( )

无约束多维极值问题的描述，提供了几种解决方案(very good)

说明：  数模2015A题程序设计，给定影子长度计算所在位置的经纬度。(MCM 2015A The program design of digital and analog question 2015A calculates the longitude and latitude of the position given the shadow length.)

This is code for finding position of user. This code uses Kalman filter.

基于均匀线阵，利用四阶累积量产生虚拟阵元，可估计出比真实阵元数更多的信号源，已达到DOA估计的目的，且具有较好的分辨率。(Based on uniform linear array, using fourth-order cumulants to generate the virtual array element can be estimated more than the true number of array element signal source, the purpose has been to DOA estimation, and has good resolution.)

= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号） 输入 ：因变量值[ 是] （× ） × ：独立变量的值 输出功率 一：名单[ 1 2 3 ] 罗伦兹参数 示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ） 杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)