matlab_fuhaojisuan

this is the code for generating membrane function using matlab GUI

关于小波去噪的MATLAB源程序序实现图像和信号的去噪可直接使用。 (On Wavelet Denoising MATLAB source sequence image and signal denoising can be used directly.)

说明：  在回归分析中，可以运用PRESS统计量来确定应选入的变量，其中，以求出的PRESS值最小为优(In the regression analysis, can be used to determine the PRESS statistic to be elected into the variables, which, in order to out a minimum PRESS value of excellent)

Image treatment file:image filters and beginners commands

SegyMAT is a set of m-files that aims to ease importing and exporting SEG-Y files from Matlab. SegyMAT aims to: completely support SEG-Y revision 1 be easy to use in other projects be compileable using the Matlab Compiler be a Swiss Army knife dealing with the SEG-Y format in Matlab. SegyMAT is not lightning fast. SegyMAT makes heavy use of ’structures’. Unfortunately structures are not very effective in terms of speed in Matlab. (Or they have not been implemented very effectively in SegyMAT). However structures make the implementation and maintainance easier, and the code (hopefully) easy to read. That said, some effort has been made to optimize SegyMAT for speed. The latest version of SegyMAT is always available from Sourceforge : http://segymat.sourceforge.net/.

介绍了UWB数据采集的实现和工作原理，并进行了硬件仿真(Describes the realization of UWB data acquisition and works, and hardware simulation carried out)

在详细介绍各种命令的同时,向读者介绍了MATLAB在高等数学,线性代数,图形图像处理等方面的应用和外部接口.(In detail the various commands at the same time, introduced to readers MATLAB in higher mathematics, linear algebra, graphics, image processing and other applications and external interfaces.)

信号与系统方面matlab实验仿真，能很好的指导初学者入门(Signal systems Matlab simulation experiments can be a good guide for beginners Getting Started)

几种变化检测算法的简单演示，包括比值法，归一化法，相关系数法三种方法(Several simple demonstration of the change detection algorithm, including ratio method, normalization method, three methods of correlation coefficient)

基本的贝叶斯算法（朴素贝叶斯算法，参照清华大学出版的模式识别）(The basic Bayesian algorithm (Naive Bayes algorithm, in the light of pattern recognition, Tsinghua University Publishing))