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4.pilgrims
Wireless Sensor Networks for Pilgrims Tracking
IEEE 2012 Paper
- 2014-09-08 21:36:06下载
- 积分：1
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Gaussian-Beam
用MATLAB编写的非近轴近似的高斯光束，可以更精确地描述高斯光束。(MATLAB prepared with a non-paraxial approximation of the Gaussian beam can be more accurately describe the Gaussian beam.)
- 2014-10-25 14:11:50下载
- 积分：1
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MATLAB-simulation-and-application
《MATLAB simulation and application》一书的电子源代码(MATLAB simulation and application of electronic source code)
- 2013-12-25 11:14:25下载
- 积分：1
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map-with--adj-matrix
根据邻接矩阵作图 matlab实现 源代码(mapping according to the adjacency matrix )
- 2014-02-09 09:11:51下载
- 积分：1
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sqcfsrrp
各种kalman滤波器的设计，用于建立主成分分析模型，使用拉亚普诺夫指数的公式，可实现对二维数据的聚类，从先验概率中采样，计算权重，本科毕设要求参见标准测试模型，基于SVPWM的三电平逆变的matlab仿真，BP神经网络用于函数拟合与模式识别。(Various kalman filter design, Principal component analysis model for establishing, Raya Punuo Fu index using the formula, Can realize the two-dimensional data clustering, Sampling a priori probability, calculate the weight, Undergraduate complete set requirements refer to the standard test models, Based on SVPWM three-level inverter matlab simulation, BP neural network function fitting and pattern recognition.)
- 2016-03-27 14:16:06下载
- 积分：1
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OFDMmatlab)
QAM通信系统用matlab进行仿真，希望对大家的学习和工作有所帮助！-QAM communications system simulation using Matlab, we want to study and work some help! (QAM communication systems using matlab simulation, in the hope that the U.S. be helpful to study and work!-QAM communications system simulation using Matlab, we want to study and work some help!)
- 2008-05-23 11:32:57下载
- 积分：1
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81404609AHP
用matlab编写的关于层次分析法如何应用的代码(AHP)
- 2010-12-05 16:09:28下载
- 积分：1
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gmm
sparse Bayesain learning algorithms
- 2010-12-09 20:35:33下载
- 积分：1
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svm-lunwen
说明： 鉴于想在对于SVM的应用已经很广泛，我在这里给大家几个关于此的论文，以供大家在学习的时候做以参考！(View of the wish for the application of SVM has been very wide, and I give you here some of the papers for you to do when learning to reference!)
- 2010-04-11 12:32:32下载
- 积分：1
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程序
利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写，原始数据和图形，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, writes independently, the original data and the graph, the study is very worthwhile.)
- 2020-06-19 18:20:01下载
- 积分：1
