机器人避障路径规划

Soure for fault classification using machine intelligence technique

LNMF- local non-negative matrix factorization, for face recognition.

用MATLAB进行 rfid读写器系统仿真(Using MATLAB for system simulation rfid reader)

针对电机的变压调速系统的变转速调压的simulink模型(The variable voltage speed control system for motor variable speed regulating the simulink model)

说明：  分析了相位噪声对正交频分复用(OFDM)系统的影响,发现相位噪声不仅产生 通用相角错误(CPE),而且还会产生载波间干扰(ICI),这都使OFDM系统的性能急剧恶 化,因此必须对CPE和ICI进行校正.文中给出了基于MSE准则的CPE校正方法,考虑到 ICI干扰主要来源于相邻信道,进而提出了基于LMS法则的自适应相邻信道干扰消除方 法.整个算法简单高效.仿真结果表明,所提出的算法大大改善了OFDM系统的性能(Phase noise is analyzed for orthogonal frequency division multiplexing (OFDM) systems, the influence of found that phase noise is not only a common phase error (CPE), but also produces the intercarrier interference (ICI), which makes the performance of OFDM system has evil, so must to CPE and ICI. CPE correction method based on MSE criterion are also given in this paper, considering the ICI interference is mainly from the adjacent channel, then was proposed based on the laws of LMS adaptive adjacent channel interference elimination The simulation results show that the proposed algorithm greatly improves the performance of OFDM system)

说明：  支持向量机的一个训练软件，代码简单易懂，可读性强。(SVM a training software, code simple, comprehensible, and readable.)

ADO查询获取的结果输出followind datastruct： myOutput.data myOutput.columnnames 第一个包含一个二维细胞矩阵，与列名第二单元阵列。 此函数使用此信息来创建一个没有细胞集。 (the ADO query fetch result outputs the followind datastruct: myOutput.data myOutput.columnnames The first contains a 2d cell matrix, the second a cell array with column names. This function uses this information to create a dataset without cells.)

psk 模拟中调制与解调过程中的各种图像，对学习很重要的用处。(the psk analog modulation and demodulation process in a variety of image, very important to learn useful.)

用jacks 方法产生瑞利衰落 需要的朋友下来看看资源互换(methods used jacks Rayleigh fading need to see friends from exchange resources)

该代码是利用卡尔曼算法对目标进行跟踪，该代码能够运行，且效果很好。(The code is to track the target using the Kalman algorithm, the code can run, and the effect is very good. )