corrMatching

it is hand simulation in MatLab

遗传算法优化投影寻踪，调用遗传算法进行优化(projection pursuit)

汽车牌照定位与字符识别 要定位汽车牌照并识别其中的字符，我们采用Matlab平台提供的一些图像处理函数,以傅立叶变换通过字符模板与待处理的图像匹配为核心思想。 (Vehicle license location to location and character recognition vehicle license and identify the characters, we use Matlab platform provides a number of image processing functions, Fourier transform through the characters in the template to be processed with the image matching as the core ideology.)

Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[ -6.2 -8.3 -5.0 -1.1 1 1.3 2.2 8.5 27.4], in x= [-4 -3 -2 -1 0 1 2 3 4] to interpolate in the xi = − 4 + 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!(Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[-6.2-8.3-5.0-1.1 1 1.3 2.2 8.5 27.4], in x= [-4-3-2-1 0 1 2 3 4] to interpolate in the xi = − 4+ 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!)

说明：  此算法为最小二乘参数估计的递推算法。运行后得到辨识参数：a1= -1.4981, a2= 0.7038, b1= 1.0476, b2= 0.4704。(The algorithm for the recursive least squares parameter estimation algorithm. After operation to identify the parameters: a1 =-1.4981, a2 = 0.7038, b1 = 1.0476, b2 = 0.4704.)

通过选择法，选出一组数据，导入到新建的数组中(By selecting the method to elect a set of data, into the new array)

ICA领域大神Paris写的算法，通俗易懂，值得下载(Large areas of Paris wrote ICA algorithm God, straightaway, worth downloading)

this code is mainly for frequency sampling. It has the carrier and the sampling frequency.

谱聚类，效率不错的聚类算法.spectral clustering(spectral clustering)

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.