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stfttype
短时傅立叶变换的几种形式
MATLAB代码，估计会对学习有所帮助
大家请下载(Short-time Fourier transform of several forms MATLAB code, it is estimated that learning will help you download)
- 2008-01-17 12:57:49下载
- 积分：1
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matlabTSP
蚁群混合算法源代码
采用MATLAB，必要的说明和注释(Hybrid ant colony algorithm source code using MATLAB, the necessary instructions and notes)
- 2008-06-28 23:00:53下载
- 积分：1
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Poiseuille
Lattice Boltzmann Simulation for Poiseuille flow in a channel
- 2013-04-02 14:52:30下载
- 积分：1
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STTC_MimoCap
4 State trellis for Mimo using viterbi hard decoding
- 2015-03-27 09:21:56下载
- 积分：1
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模糊算子
说明： 模糊算子5种方法，应该有点用吧。能求出综合评价(There are 5 ways of using fuzzy operators. We can figure out the comprehensive evaluation)
- 2020-07-12 10:08:25下载
- 积分：1
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8ASK
8ASK系统仿真，包括调制和解调。相干解调和非相干解调(8ASK system simulation, including the modulation and demodulation. Coherent detection and non-coherent demodulation)
- 2010-06-11 18:17:53下载
- 积分：1
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suanf
选取信息基因，这是一个很好的MATLAB算法(Select the information gene, which is a good MATLAB algorithm)
- 2010-09-20 13:07:34下载
- 积分：1
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MPC_MAC
this is a program for model predictive control with MAC algorithm
- 2010-02-10 23:50:32下载
- 积分：1
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n-bus-Power-Flow-Solver-1
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 22:11:07下载
- 积分：1
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lec5
Li near r egr essi on, acti ve learning
We arriv ed at the lo gistic regression model when trying to explicitly model the uncertainty
about the lab els in a linear c la ss ifier. The same genera l modeling approach p e rmits us to
use line ar predictio ns in var ious other co ntexts as well. The simplest of them is regress ion
where the go al is to pr e dict a con tin uous resp onse y
t ∈ R to e ach example ve ctor. Here
to o fo cusing on linear predictions won’t b e inherently limiting as linear predictions can b e
easily extended (ne xt lecture).
- 2013-12-02 14:38:57下载
- 积分：1
