yizhixingjianyan

Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.

程序matlab_bgl.rar MATLAB应用(Program matlab_bgl.rar MATLAB Applications)

Visual C和matlab混合编程应用于图像处理中，有利于结果的实现，方便大家分享。(Visual C and mixed programming matlab image processing application and is conducive to the achievement of results to facilitate shared.)

new induction machine model with matlab coding

异步电动机数量控制完整仿真模型，可以根据实际情况写该参数，达到研究者所需要的情形(The number of complete induction motor control simulation model, the parameter can be written according to the actual situation, the researchers needed to achieve the situation)

说明：  文件里边是针对两个非线性、变系数、非齐次偏微分方程的求救方法(The content of the document is for two nonlinear, variable coefficient, inhomogeneous partial differential equation solution method)

目标检测matlab代码，实现检测目标目标检测matlab代码，实现检测目标(Target detection matlab code to achieve test objectives)

Reliable authorization and authentication are becoming necessary for many everyday applications such as boarding an aircraft, performing financial transaction, logging to a secure system etc. Identity verification becomes a challenging task when it has to be automated with high accuracy and with low probability of break-ins and low rates of false match. Moreover, person verification is not a new problem and society had created three traditional modes of designation: 1. Possessions: Physical possessions such as keys, passports and smart cards. 2. Knowledge: Pieces of information those are secret and known only to the right person such as PIN, passwords, user names etc. 3. Biometrics: Physiological and behavioral characteristics of individuals that distinguish one person from the others. These characteristics are different in each person.

多目标遗传算法求最佳值，通过加权的方式将多目标转为单目标(Multi objective genetic algorithm for optimal value)

求任意带宽的低通、高通、带通高斯白噪声的自相关函数，自协方差函数和功率谱密度函数。(Seeking any bandwidth low pass, high pass, band pass Gaussian white noise autocorrelation function, autocovariance function and power spectral density function.)