TRM_focusing

k-均值算法，主要进行在matlab中的程序实现，进行图像的分割处理(k-means algorithm, mainly for the program in the matlab implementation for image segmentation)

这是一个Z变换和Z反变换的matlab程序。(This is an anti-Z transform and Z transform matlab procedures.)

Matlab code for image compression using haar wavelet transforms

说明：  图论的相关MATLAB CODE 非常好用(grBase- find all bases of digraph grCoBase- find all contrabases of digraph grCoCycleBasis- find all independent cut-sets for a connected graph grColEdge- solve the color problem for graph edges grColVer- solve the color problem for graph vertexes grComp- find all components of graph grCycleBasis- find all independent cycles for a connected graph ...)

多元线性回归是概率论研究的热点，此程序针对多元线性回归而设计的Matlab程序(Multiple linear regression is the probability of research in this field, this program is designed for multiple linear regression of the Matlab program)

1． 该光盘包含了“信号与系统分析及MATLAB实现”一书的第十一章所有程序； 2． 为了方便读者阅读程序，所有程序均采用中文注释。MATLAB的程序编辑器不支持中文显示，用户只需在Word下直接打开源程序文件，即可阅读程序中的中文注释； 3． 程序文件的命名分为以下三种类型： （1） 若为书中例题的程序，则程序文件名一律以ex开头，后面跟4位数字（前两位表示章号，后两位表示例题序号）表示的该程序所在例题的编号。例如，ex0603.m是例6.3的程序，而ex1102.m则是例11.2的对应程序。 （2） 若为书中图形的实现程序，则程序文件名一律以figure开头，后面跟4位数字（前两位表示章号，后两位表示图形序号）表示的该程序所绘图形的编号。例如，figure1203.m是实现图12.3的程序，而figure0710.m则是实现图7.10的对应程序。 （3） 若为函数文件，则直接以函数名命名，例如文件sconv.m即是书中函数sconv()的对应程序。 ()

A sound source can be localized in a two dimensional plane using the audio recorded at three known microphone locations. Much like a GPS system, Time Difference of Arrival algorithms can be used to determine the difference in time and distance of a sound source to other microphones. With that information a Chan algorithm can be used to determine the X Y coordinates of the originating sound source. To do so, however, you must first provide the XY coordinates of each of the 3 microphones. Note that for faster and simpler calculation one of the microphones should be placed at the origin (0, 0) of you XY plane.

说明：  图论中KM算法程序子程序，进行最优匹配，可解决分配问题(KM algorithm in graph theory)

说明：  本实验的目的是考虑不同维数下的高斯概率密度模型，用最大似然估计方法对其参数进行估计，了解最大似然估计方法。(The purpose of this study is to consider different dimensions of the Gaussian probability density model, using the maximum likelihood method to estimate its parameters to find maximum likelihood estimation.)

说明：  matlab编写的[数据挖掘]分类算法Discrete_Bayes算法程序。(Matlab prepared by the [data mining] classification algorithm Discrete_Bayes algorithm way Preface.)