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KalmanFilter
利用卡尔曼滤波器对输入的加有噪声的随机信号做估计，可根据谱估计预测运动变化情况(Kalman filter using the input signal plus a random noise, make estimates, based on changes in spectral estimation predicted motion)
- 2011-01-02 16:40:21下载
- 积分：1
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04470072
This paper presents a topology design scheme (HeteTopo) for QoS-based heterogeneity ssues in overlay multicast. The scheme aims at constructing a topology tree with differentiated QoS support for heterogeneous multicast service while optimizing the related tree cost metrics
- 2013-02-19 15:35:45下载
- 积分：1
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prbs.m
用matlabe产生随机序列,用matlabe产生随机序列(matlab prbs,matlab prbs,matlab prbs)
- 2013-12-25 10:52:18下载
- 积分：1
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circular_array
circulation array using the the matlab for radar sensor application
- 2012-01-27 18:55:45下载
- 积分：1
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ELMmain
说明： EEG脑电信号处理，使用CSP提取特征，后使用极限学习机ELM进行模型训练和分类，有较高的正确率。(CSP processing and ELM classification of EEG data.)
- 2020-11-19 23:09:39下载
- 积分：1
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Matlab_VC++examples
matlab /Vc++实例教程，十二章包括附录的相关代码都有。(Matlab/Vc example guides, including Chapter 12 Appendix relevant code.)
- 2007-05-03 09:57:03下载
- 积分：1
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gps-filter
计算滤波的均值和误差的均值， 真实轨迹 , 观测样本 , 估计轨迹 (Calculate the mean and error filtering means, ' true path' , ' observed sample' , ' estimated trajectory' )
- 2011-05-04 16:45:26下载
- 积分：1
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bus-scheduling--on-genetic-algorithm
基于遗传算法的公交排班系统分析,很好的运用在公交排班上(Analysis of bus scheduling system based on genetic algorithm)
- 2020-10-24 22:10:00下载
- 积分：1
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recurrence network
说明： 在复杂网络研究中，利用e阈值求递归矩阵和邻接矩阵(get recurrence network)
- 2020-09-24 11:01:14下载
- 积分：1
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8
说明： 它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。
偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a " response" matrix, predictive capabilities.)
- 2015-04-21 16:52:15下载
- 积分：1
