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stochasticopt
Set based stochastic optimization for evolving optimum instinct learning balance
- 2010-08-24 17:39:23下载
- 积分：1
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tank
MATLAB 设计的一个关于用户界面的例子(MATLAB design a user interface example)
- 2008-05-28 16:46:09下载
- 积分：1
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zishiyingjunhengqi
说明： 自适应均衡器实验报告lms算法matlab仿真(Experimental report adaptive equalizer lms algorithm matlab simulation)
- 2009-08-19 16:49:18下载
- 积分：1
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t-test
t检验，通过多样的分析可以得出想要的熵结果。(t-test.you can download it every day.)
- 2012-06-03 15:05:56下载
- 积分：1
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fahanshu
进退法 罚函数法 0.618方法程序过程 分别用matlab以及c两种语言(0.618 retreat France penalty function methods and procedures to process)
- 2013-11-19 10:04:43下载
- 积分：1
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vblast-and-alamouti-2x2
自己毕设的一部分，vblast2x1、2x2和 alamouti 2x1 2x2的误码率作图比较。(vblast2x1, 2x2 and alamouti 2x1 2x2 BER plotted comparison.)
- 2014-01-16 01:00:26下载
- 积分：1
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RLS_Algorithms
recursive least square (RLS) algorithm using matlab with examples
- 2013-12-21 16:17:52下载
- 积分：1
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daolibai-Fozzy-logic
倒立摆控制系统是一个复杂的、不稳定的、非线性系统，是进行控制理论教学及开展各种控制实验的理想实验平台。对倒立摆系统的研究能有效的反映控制中的许多典型问题：如非线性问题、鲁棒性问题、镇定问题、随动问题以及跟踪问题等。通过对倒立摆的控制，用来检验新的控制方法是否有较强的处理非线性和不稳定性问题的能力。利用模糊控制对倒立摆进行控制(Inverted pendulum control system is a complex, unstable, nonlinear system, which is an ideal experimental platform for teaching of control theory and various control experiments. The research of inverted pendulum system can effectively reflect many typical problems in control, such as nonlinear problem, robust problem, stabilization problem, follow-up problem and tracking problem. Through the control of the inverted pendulum, used to test whether the new control method has a strong ability to deal with nonlinear and instability problems. The fuzzy control is used to control the inverted pendulum)
- 2020-06-29 22:20:01下载
- 积分：1
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thedigitalbasebandtransmissionsimulation
运用了matlab编程，对数字基带传输进行仿真(Use of matlab programming, the digital base-band transmission simulation)
- 2009-04-21 09:13:10下载
- 积分：1
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FracLab-Mat
说明： FracLab的一些源代码，FracLab是用于分形分析的toolbox(some of the source code in FracLab, FracLab is toolbox for fractal analysis)
- 2010-04-12 19:19:44下载
- 积分：1
