Feedforward-compensation-1_23_12

与MIe散射理论配套使用的用于测定mie散射光强，采用matlab编程实现(Mie intensity)

核主分量计算得也很有用的程序~已经调通很好用~(KPCA，which is very useful in signal processing!)

Matlab code for cell range calc using montecarlo

通信系统中利用周期图谱方法进行谱估计的MATLAB程序(Communication system cycle map method for spectral estimation using MATLAB program)

Application module support for IPVS.

说明：  用MATLAB对一图象分别用不同小波分解，观察高低频部分进行重构，比较重构误差，再进行阈值消噪，比较消噪前后图象。(MATLAB right one image with different wavelet decomposition, high-low-frequency observations for some remodeling, more reconstruction error and then de-noising, compared before and after image denoising.)

the geometry of a diffraction grating, a common illustration in textbooks of optics, spectroscopy, and analytical chemistry. Sliders on the figures allow real-time interactive control of the incidence angle, grating ruling density (lines/mm), wavelength, and diffraction order.(the geometry of a diffraction grating, a commonillustration in textbooks of optics, spectroscopy, and analytical chemistry.Sliders on the figures allow real-time interactive control of the incidence angle, grating ruling density (lines/mm), wavelength, and diffraction order.)

MYFIGURE的行为是非常类似的数字。 但是第一个参数可以是字符串，而不是一个数字(MYFIGURE s behavior is very similar to figure. The first parameter however can be string instead of a number)

此段程序可以完成数据波形的频谱细化和小波包分解(czt wavellet)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )