jingpui

现代通信信号在matlab中的实现及应用(good)

说明：  一份经过精心设计的海报模板，大家可以相互交流一下的呢(A poster template is designed, we can look at the then exchange)

fixed point iteration for finding roots

topsis运输模型，包括产大于销；销大于产；产销平衡；(topsis model)

matlab命令大全。全面介绍了matlab5.3版本的全部命令，以及他的描述、语法和应用。包括数值计算、数据分析、绘图、图像处理、用户图形界面创建等……(matlab command Daquan. A comprehensive introduction to all of the commands matlab5.3 version, as well as his description, syntax, and applications. Including numerical computation, data analysis, graphics, image processing, graphical user interface to create, etc. ......)

this code for RLS equalizer in OFDM system

PRTools4 A Matlab Toolbox for Pattern Recognition

说明：  MATLAB数组与运算教程,简单易懂,适合初学者(MATLAB array and computing tutorials, easy to understand for beginners)

雷克子波的matlab程序 地震勘探中用(The Ricker wave matlab program seismic exploration using)

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].