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AHP
说明: 利用层次分析法来解决数学或经济学中的问题,里面有AHP程序以及相应的AHP建模的讲解说明(Use of AHP to solve the problems in mathematics or economics, there are procedures and the corresponding AHP AHP modeling to explain instructions)
- 2010-04-17 09:26:04下载
- 积分:1
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MATLAB
介绍MATLAB在水库调洪计算中的应用,同时呈现相应的论文格式。是初学者,应当掌握的。(failed to translate)
- 2010-05-27 16:30:25下载
- 积分:1
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chap2_08_RELS
系统辨识与自适应控制MATLAB仿真教材里递推增广最小二乘法的参数估计的matlab实现的程序(Estimation of system identification and adaptive control of MATLAB simulation in the textbook recursive extended least squares method of the parameters of the matlab program)
- 2015-02-03 18:05:01下载
- 积分:1
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VB_kalman
说明: vb语言实现的卡尔曼滤波源程序 (没有测试,输出部分要配合相应的过程)(vb language Kalman filtering source (no test, the output corresponding to tie part of the process))
- 2006-05-03 23:40:52下载
- 积分:1
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Adaline1
Adaline Algorithm Using Matlab
- 2010-12-16 02:42:57下载
- 积分:1
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84
说明: 滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。(Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combining extracts bearing vibration signal weak to overcome the traditional envelope analysis method easy to lose the signal disadvantage of the active ingredient. Refinement of the envelope signal spectrum better reflects the bearing fault information.)
- 2013-08-15 20:01:14下载
- 积分:1
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dieucheBPSKAWGN
bpsk in Rayleigh fading
- 2009-04-19 14:59:55下载
- 积分:1
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matlab_magic
使用MATLAB语言编写的可以产生魔方矩阵的函数,很有意思额(Using the MATLAB language that can create magic cube matrix function, it is interesting the amount of)
- 2010-03-10 17:33:06下载
- 积分:1
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dgnc_cls
For tasklet and interrupt structs defines.
- 2015-03-14 21:29:21下载
- 积分:1
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mixture_of_gaussians
Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.
- 2010-06-29 12:18:43下载
- 积分:1