异步电机矢量控制

平面桁架单元，力，长度，刚度，应力程序,使用matlab编制(plane truss force,length ,stiff,stress)

数字信号处理中对于多个信号频谱分析的BT法仿真程序。(Digital signal processing for multiple signal spectrum analysis of the BT method simulation program.)

TOA定位算法，代码无错误，根据站点信息，闪电位置计算出接受信息，然后加误差反演出数据(TOA for matlab)

高斯噪声下的64QAM调制的误码率检测与理论值比较,很好的(64 qam modulation ber under gaussian noise detection compared with the theoretical value, very good)

说明：  基于CVT的混合动力再生制动建模与仿真，matlab/simulink建模(Modeling and Simulation of hybrid regenerative braking based on CVT and matlab/simulink)

说明：  matlab编写高斯光束高斯光束模拟的焦点附近光场分布(Matlab programming of Gaussian beam the distribution of light field near the focus of Gaussian beam simulation)

考虑雨衰 阴影 和多径影响，包括数据分析、绘图等等,数值分析的EULER法，使用起来非常方便，包括随机梯度算法，相对梯度算法，计算目标和海洋回波的功率谱密度。

MAT L A B中预定义的1 7种不同的颜色图案(MAT LAB in the pre-defined 17 different colors and patterns)

matlab贝叶斯分类器，基于matlab的仿真(Bayesian classifier matlab, matlab-based simulation)

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].