wimax

VOLTAGE SOURCE INVERTER FEEDING R LOAD

dBUG源代码 dBUG源代码 dBUG源代码 dBUG源代码(dBUG source code dBUG source code dBUG source code)

MI工具包,matlab使用，并且能正常使用，(MIToolbox,matlab,MRMR,MIFS)

MAQ-N with N in(1,2,3,4) modulation implementation code devlopped to simulate this numeric modulation with constellation and BRE (bit rate error) (french comments may be annoying ) whith a graphique interface to simulte sms transmission end reception with zeropading

一个关于LDA算法合格度分类的Matlab实例。(An LDA algorithm on Matlab examples.)

hinfini test under matlab

追逐问题是现实生活中的常见问题,本文就三人绕正三角形的追逐问题建立起了两个数学模型:一个充分应用运动的周期性首先给出了三人共边的充要条件,然后直接给出在一个周期内三人共边的次数及起止时刻,另一个则利用初等数论的方法给出了三人共边的另一个充要条件 利用matlab长于计算和强大的绘图功能,本文分别给出了求解两个模型的matlab程序,通过动画仿真演示三人绕正三角形的追逐模型,并给出三者共边的时间起止点和共边的次数。 更多还原 (The problem is that in real life the pursuit of the common problems, the paper chase on three questions about the triangle established two mathematical models: a full application of the cyclical movement Firstly, the necessary and sufficient conditions of the three sides, and then directly within a given period of three sides of the starting and ending times and moments, and the other using elementary number theory approach gives another three necessary and sufficient conditions of the edge using matlab longer computing and powerful graphics capabilities, this paper two models are given for solving matlab program, triangle chase through animated simulation model demonstrates trio around and gives the time of the beginning and ending points of the three sides and the number of edges. More Restore)

模糊聚类的经典算法，可以使用UCI数据集进行聚类，该程序附有详细的说明(Classical fuzzy clustering algorithm, you can use the UCI data sets clustering, the program is accompanied by a detailed description of)

DPSK的产生波形及其解调后所产生的波形(The DPSK its demodulated waveform)

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].