speakerrecognition

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.

利用Matlab编写的遗传算法工具箱，可应用于不同的算法设计中(Prepared by use of Matlab genetic algorithm toolbox, the algorithm can be applied to different design)

Wound Rotor Induction Generators (WRIGs):Design and Testing

Program that calculates the capacitance between two plates using the Finite Element Method

ofdm发送端和接收端，根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。(ofdm sending end and receiving end, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives.)

matlab GUI程序设计中实现滚动字幕(scrolling marquee of matlab GUI programming)

Text Processing example, a program to recognize tokens

以matlab为工具利用数字图像处理技术对答题卡进行了识别，并对识别结果进行了处理。注意到答题卡在采集图像的过程中由于各种原因可能会产生图像倾斜、水平或垂直错位，要进行正确识别首先必须对其进行校正，再依据像素检索技术进行识别。(With MATLAB as the tool, the answer card is identified by digital image processing technology, and the recognition results are processed. It is noted that the answer card in the process of collecting images may cause image tilt, horizontal or vertical dislocation for various reasons. To correct recognition, it is necessary to correct it first and then identify it according to the pixel retrieval technique.)

this package is binary Decision Tree code implement in matlab.

《MATLAB神经网络30个案例分析》中的第5个例子，案例5 基于BP_Adaboost的强分类器设计-公司财务预警建模。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 5 example, case 5 strong classifier design based on BP_Adaboost- corporate financial early warning model. Hope to have certain help to everybody! )