creaseg2010

hidden markove modeling for text dependent speaker recognition

matlab用来解一般线性或者非线性方程的方法及应用公式。(matlab used to solve a general linear or nonlinear equations and application of formulas.)

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

说明：  五阶CIC梳状积分滤波器，可以综合，非常有参考价值(Fifth-order CIC points comb filter, can be integrated and very useful)

ARRUAM CODIGO NO VISUAL BASIC

来源于国外论文，可以生成pv曲线，亲测有用(Papers abroad, you can generate pv curve, pro-test useful)

模糊C均值初始聚类中心的选择，供初学者参考(Fuzzy C-means clustering center of the initial choice of reference for beginners)

系统辨识1仿真程序,程序里面有matlab的源文件，可供下载！(xitongbianshifangzhenchengxu)

说明：  在matlab里实现三维仿真布里渊散射信号随温度变化的趋势，(Achieved in three-dimensional simulation matlab Brillouin scattering signal with the temperature change trend,)

S4VM 对传统的S3VM 进行了改进。传统的S3VM 基于低密度假设，它试图找到一个低密度的分界线， 也就是更倾向于决策边界穿过特征空间的低密度区域。S4VM 和S3VM 的不同点在于，S3VM 试图把注意力 集中在一个最优的低密度分界线上，而S4VM 则同时关注多个可能的低密度分界线。之所以这样做，是因为 给定一些有标记的点和大量未标记的点，可能存在着不止一个“间隔”较大的低密度分界线（如图2 ），基于 有限的标记样本，很难决定哪个是最好的。虽然这些低密度分界线都与有限的标记样本吻合，但它们之间差 异很大，因此如果选择错了，会有一个很大的损失，导致性能下降。所以S4VM 试图考虑所有可能的低密度 分界线。 (Over the past decade, many improved versions are proposed to solve every different specific problem of semi-supervised support vector machines, for example: to the inefficiency issue, meanS3VM is introduced to performance degenerate problem, S4VM is proposed)