mat

直流电机的空载特性仿真程序，可以求电机的额定电动势(motor machine)

snrz.m 本函数实现将输入的一段二进制码编为相应的单极性非归零码输出 snr.m 本函数实现将输入的一段二进制码编为相应的单极性归零码输出 dnrz.m 本函数实现将输入的一段二进制码编为相应的双极性非归零码输出 dnr.m 本函数实现将输入的一段二进制码编为相应的双极性归零码输出(snrz.m achieve this function the input of a binary code compiled for the corresponding unipolar NRZ output snr.m functions for the input of the binary code compiled for the corresponding period of the unipolar NRZ output dnrz.m The functions for the input of a binary code compiled for the corresponding bipolar NRZ output dnr.m achieve this function the input of a binary code compiled for the corresponding output bipolar RZ)

给出了用雅克比方法解线性方程组的方法，文中给出了解三个线性方程的雅克比法(In this paper, a method of Jacques than the method of solving linear equations )

minimum spaning tree

line tracking for vessel segmentation

说明：  基于matlab软件使用yalmip工具箱的一些微网的仿真、运行小例子(Matlab - based software using yalmip toolbox for some micro - grid simulation, small examples)

这是个新型的单相三电平逆变器，用一个三电平桥臂和一个普通桥臂组成，SPWM控制。在MATLAB2008上运行(New type of single-phase three-level inverter PWM)

base de données multimodale base de données multimodale base de données multimodale base de données multimodale

经典Matlab教材，关于Matlab高级编程、编译、与外部程序接口、界面设计技巧等。(Matlab textbook classic, high-level programming on Matlab, compiled, and the external program interface, interface design skills.)

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].