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acrobot_swingup
How to moedelling Acrobot as an underactuated system
- 2013-05-21 03:09:57下载
- 积分：1
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contourlet_toolbox.tar
The document is a toolbox which commands all the commands available in contourlet transform
- 2010-09-25 10:22:36下载
- 积分：1
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fips
FIPSO算法，全信息粒子群算法，用于求解一些函数的最优值问题(fully informed particle swarm, a kind of particle swarm)
- 2020-06-22 12:40:01下载
- 积分：1
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matlabproject
说明： 用matlab计算泰勒展开式taylorseries、函数求导differentiate、求极限limitx、求解非线性规划nolinearsolve&ff5(Using MATLAB to calculate Taylor series, differential function differentiation, limit x, nonlinear programming nolinearsolve & FF5)
- 2020-07-18 22:10:30下载
- 积分：1
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quxian
多正弦曲线条件叠加，生成各种曲线，值得参考(Conditions of multi-sinusoid superimposed to generate a variety of curves, it is also useful)
- 2009-05-29 10:29:08下载
- 积分：1
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chenxiaocen
盲信号分离(BSS)指在源信号混合和传输信道未知的情况下，只利用接收天线的输出观测混合信号抽取源信号的方法。本文简要阐述了常用的瞬时混合盲信号分离的LMS与RLS自适应算法，对RLS自适应算法重点研究分析了基于普通梯度与自然梯度的两种算法，并通过仿真实验来分析比较几种方法的性能。(Blind signal separation (BSS) refers to the source signal and transmission channel mixing unknown circumstances, the only use of the receiving antenna output source signal observed mixed-signal extraction method. This paper describes commonly used blind source separation of instantaneous mixture of LMS and RLS adaptive algorithms, the RLS adaptive algorithm focuses on the analysis of general gradient and the natural gradient based on two algorithms, and through simulation experiments to compare several methods of analysis performance.)
- 2011-08-30 15:38:55下载
- 积分：1
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Gaussian_white_niose
高斯白噪声产生程序文件，直接可用有注释 对于初学者有帮助(Gaussian white noise generated files, can be annotated directly helpful for beginners)
- 2011-11-29 23:06:55下载
- 积分：1
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pso
粒子群算法的matlab源代码，绝对可用！(Particle swarm optimization algorithm source code, absolutely free!)
- 2014-02-19 10:15:18下载
- 积分：1
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matlab
matlab常用函数表,包含常用的matlab函数，比较齐全(matlab function that consist of the matlab function.)
- 2014-08-28 20:20:39下载
- 积分：1
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MATLAB-
基于MATLAB的发动机功率计算优化方法研究(Engine power calculation based on MATLAB Optimization Method)
- 2013-10-22 16:06:21下载
- 积分：1
