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mantenimiento de portatiles, revista

阵列信号处理常用的MUSIC算法，包括经典MUSIC，求根MUSIC，基于四阶累积量的MUSIC等(MUSIC usual array signal processing algorithms, including the classic MUSIC, Root MUSIC, based on fourth-order cumulant MUSIC etc.)

一个统计语言识别系统一般采用移自动语言识别三角洲系数（议会）功能。学童牙科保健服务堆叠比例系数的几帧三角洲的版本。 南区区议会及其应用的详细描述可在西医坎贝尔先生，J.P.坎贝尔，D.A.雷诺，大肠杆菌歌手，年息托雷斯- Carrasquillo，扬声器和语言识别，计算机语音和语言，第20卷，问题2-3，奥德赛2004支持向量机：演讲者与语言识别工作坊 -奥德赛- 04，四月至2006年7月，页210-229。 此代码是一个快速实现移三角洲系数（在MATLAB）。( A statistical language recognition system generally uses shifted delta coefficient (SDC) feature for automatic language recognition. SDCs are stacked version of delta cofficient over several frames. The detail descriptions of SDC and its applications are available in W.M. Campbell, J.P. Campbell, D.A. Reynolds, E. Singer, P.A. Torres-Carrasquillo, Support vector machines for speaker and language recognition, Computer Speech & Language, Volume 20, Issues 2-3, Odyssey 2004: The speaker and Language Recognition Workshop- Odyssey-04, April-July 2006, Pages 210-229. This code is a fast implementation (in MATLAB) of Shifted Delta Coefficient.)

一篇关于多相滤波器的论文,讲解了关于多信道的实现与仿真。(A paper about the polyphase filter，explained about the realization of multi-channel and simulation )

CMA WITH N EQUAL TO 8,4,20

通过模糊c-均值（FCM）聚类实现图像的分割。(Through the fuzzy c-means (FCM) clustering to achieve image segmentation.)

介绍了什么是函数文件及如何编写函数文件等等(What is the function of the document describes how to write functions and files, etc.)

实现基于PSO的三维图形的极值计算，并显示中间的搜索过程。(Implementation is based on PSO to calculate the extremum of 3 d graphics and display in the middle of the search process.)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

ML detection for mimo ofdm Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Maximum Likelihood equalization