housan

This file helps identify the presence of a human face, hand or any other body part by identifying and marking skin-like pixels within a given image. With further image processing techniques, the output produced by this script can be refined and processed to be fed into larger face detection and tracking, gesture recognition, and other HCI applications.

说明：  对心直动凸轮机构压力角的计算 计算斜齿轮公法线长度及其偏差 优化设计的分析与计算(Direct action on the heart cam pressure angle calculating the length of common normal helical gear calculation and deviation analysis and calculation of optimal design)

高斯背景建模源代码，实现背景建模，但前景处理效果不好(Gaussian background modeling source code to achieve the background modeling, but the outlook is not good treatment effect)

数字PID的matlab仿真程序，针对刘金琨的先进PID控制的matlab仿真，里面的部分程序进行了修改 第三章(Digital PID of matlab simulation program for Liu Jinkun matlab advanced PID control simulation, which part of the program were modified Chapter)

Those wishing to model a surface data in the form of z(x,y) scattered or semi-scattered data have had few options in matlab - mainly griddata.

graphical user interface

用matlab自带的聚类函数进行聚类，输入为特征矩阵，输出的是聚类图(Clustering clustering comes with matlab function, input feature matrix, the output is dendrogram)

it s a function args ( varargin )

A motion picture presents a continues phenomena as a sequence of frames. We perceive continuity by "filling in the gaps" and "smoothing out " the missing information. While faster motion requires more frames during a given time period, there is a point where more frames per second yield no further improvement. The "sampling speed" must be fast enough to allow "appropriate averaging of dead times between frames", but need not accommodate motion too fast to be seen by a human. The above description is somewhat analogous to sampling of audio signals. The sampling rate depends on how fast the signals vary (the highest frequency we hear). Nyquist showed that sampling frequency exceeding twice the audio bandwidth is sufficient to include all the signal information, preserving the finest details up to half the sampling rate

1求矩阵中的 最大值 并返回所在的行数与列数。2判断一组数据满足什么分布，包括泊松分布、正态分布、卡方分布、T分布等。3 检验线性方程组 系数的输入是否有误。(1 find the maximum value and returns the matrix where the rows and columns. 2 to determine what set of data to meet the distribution, including Poisson, normal, chi-square distribution, T distribution. 3 Coefficient of linear equations test input is wrong.)