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knniris
说明: 模式识别中的k近邻算法,用matlab编写,希望对大家有所帮助(K-nearest neighbor algorithm for pattern recognition with matlab write, we want to help)
- 2010-04-05 11:56:38下载
- 积分:1
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hw2
Z=X+Y
求Z的分布
並且畫出圖
並與理論公式值做比較
(Z = X+ Y seeking to draw the map the distribution of Z and compare with the theoretical formula for the value)
- 2011-05-31 12:54:34下载
- 积分:1
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MawSuballo
Subcarrier allocation in mimo-ofdma
- 2011-10-10 03:43:48下载
- 积分:1
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MALLET
matlab语言程序。采用Mallat重构算法提取出的暂态扰动波形(matlab language program. Mallat reconstruction algorithm using transient disturbance waveforms extracted)
- 2013-10-23 16:05:44下载
- 积分:1
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envelop-spectrum
自己写的包络谱函数,可以实现对时间序列求出他的功率谱(Write their own spectral envelope function, can realize to the power spectrum of his time sequence)
- 2015-03-30 12:52:31下载
- 积分:1
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mpckongzhi
说明: MPC模型建立的代码,可直接运行,已修改(The code established by MPC model, which can be run directly, has been modified)
- 2020-03-13 12:09:01下载
- 积分:1
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n-bus-Power-Flow-Solver-4
DESCRIPTION: This Matlab algorithm performs many tasks associated with
power system analysis. First, it has the ability to perform both fully
coupled and dc power flow analysis. Second, it has the ability to create
measurements (with user-defined error) to be used as input for state
estimation. Third, it has the ability to perform state estimation -
allowing the user to examine how the placement of measurement devices as
well as magnitude of distibution of measurement error affect the
discrepency between power flow and state estimation results. In essence,
it provides the user with a complete package for the study of both power
flow and state estimation in n-bus power systems.
- 2013-03-18 22:13:33下载
- 积分:1
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Grey-model-GM-(1--1)-forecast
灰色理论模型GM(1,1)预测客户需求
灰色理论模型GM(1,1)预测客户需求(Grey model GM (1, 1) forecast customer demand weight trends. Docx
)
- 2013-05-18 14:36:22下载
- 积分:1
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Direct-Sequence-Spread-Spectrum-Matlab-Code
this code helps to understance DSSS direct seq. spread spectrum. in comm.
- 2013-02-26 15:15:56下载
- 积分:1
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final-GPS
Calc_Azimuth_Elevation distance
- 2013-12-01 23:15:44下载
- 积分:1