neural3

This simulation demonstrates the running of a DC motor with controlled (thyristor) line rectification (5 hp 240V 1200 rpm) rated torque Tr = 30 N.m.Results of out current and speed of the dc motor can be observed together with the rectifier voltage

图像处理常见实例的在matlab环境下的具体实现，源码程序，对于初学者不可或缺。(Common examples of image processing in matlab environment, the specific implementation, the source program, for beginners is indispensable.)

power systems basic programming in y bus foramtion

虚拟激励法程序 用于结构工程领域的地震工程分析(Pseudo-excitation method for structural engineering procedures for earthquake engineering analysis)

该源代码是Govind P.Agrawal所编写的非线性光纤光学中的非线性薛定谔方程的matlab的数值解法(The source code is the numerical solution of the nonlinear Schrodinger equation written in Nonlinear Fiber Optics by Govind P.Agrawal Matlab)

本程序实现LPP降维功能，用于多模态故障诊断中，对象为TE，诊断效果很好(This procedure realize the LPP dimension reduction function, used for fault diagnosis of multimodal, object for TE )

对正交幅度调制的发送和接受部分分别进行仿真分析。(Quadrature amplitude modulation for transmitting and receiving parts were simulated and analyzed.)

插值与拟合的matlab实现，FIR 底通和带通滤波器和IIR 底通和带通滤波器，光纤陀螺输出误差的allan方差分析。( Interpolation and fitting matlab implementation, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, allan FOG output error variance analysis.)

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].

Matlab Code needs some modifications to work properly