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mvdr
MVDR方法是波束形成的经典方法,可使期望方向的波束尽可能多通过同时抑制干扰,稳健性强。(MVDR beamforming method is the classic way, can look forward to the direction of the beam while suppressing interference by as much as possible, robust and strong.)
- 2011-04-27 11:34:28下载
- 积分:1
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graph
在图论的最短路问题中,我们经常用到floyd和Dijkstra来解决问题(In graph theory, shortest path problem, we often use the floyd and Dijkstra to solve the problem )
- 2011-09-11 03:35:46下载
- 积分:1
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hierarchicalCentroid
Hierarchial Centroid
the zip consists of implementation of hirarchial centroid
along with their figures and their sample outputs
- 2014-02-06 15:30:19下载
- 积分:1
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PGZ.m
Reed Solomon decoding algorithm
- 2014-02-20 00:47:15下载
- 积分:1
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hgowind
Reduced order modeling of wind turbines in MatLab for grid integration and control studies
- 2013-07-29 11:36:23下载
- 积分:1
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plate
a plate under temperature distribution.
this program divisions the plate to 20 element and clculates temperature at each node
- 2014-08-14 17:05:57下载
- 积分:1
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Simulation-of-power-electronics
电力电子、电机控制系统的建模与仿真-洪乃刚编著,机械工业出版社。(Modeling and Simulation of power electronics, motor control system)
- 2013-04-19 10:12:16下载
- 积分:1
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segymat-1.03
matlab编写的地震数据格式转换,由segy进行数据处理(matlab prepared seismic data format conversion, data processing carried out by segy)
- 2008-05-22 16:04:45下载
- 积分:1
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bch
bch channel coding matlab codes
- 2011-04-19 14:18:34下载
- 积分:1
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SVM_matlab
利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息,所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析,最终拟合的结果是:均方误差MSE=2.35705 e-005,平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)
- 2014-01-20 22:14:03下载
- 积分:1