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我本科毕业设计时研究用的遗传算法解决TSP问题，matlab版本的(I graduated with the design of genetic algorithm to solve TSP problem, matlab version)

陈亚勇的信号处理在MATLAB中的应用，好书(Of Chen Yayong the signal processing in MATLAB, a good book)

可靠性评估经典算例IEEE RTS 96输入调用表3.matlab编程(Reliability evaluation classic example IEEErts96 input call table 03, matlab programming)

讲解matlab的相关内容，可以帮助你对其进行深入的讲解！(Matlab explain relevant content that can help you carry out in-depth explanation of their!)

囧子图动画的设计以及二进制GUI界面的设计，很实用(囧 subgraph animation design and the design of binary GUI interface, very useful)

短时傅里叶变换实现线性调频信号的时频分析(Time-frequency analysis of LFM signal by short time Fourier transform)

基于bp神经网络的水质神经网络预测系统，matlab 源程序。(Bp neural network based on neural network prediction system of water quality, matlab source code.)

Matlab环境下使用霍夫变换在二值图像上检测圆形的代码(Function uses Standard Hough Transform to detect circles in a binary image.)

Space lib tips which is so useful in matlab programing particularlly in Control engineering.

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].