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MSR
多机器人避障仿真程序，实现了动画运行，基于matlab2009b，自己写的，(Multi-robot obstacle avoidance simulation program, to achieve the animation is running, based on matlab2009b, their written)
- 2010-06-07 13:40:59下载
- 积分：1
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stateflow
使用matlab中的simulink下的stateflow模块进行仿真的PPT课件和模型文件。(Using matlab simulink in the module under the stateflow PPT courseware and simulation model files.)
- 2011-05-30 20:46:49下载
- 积分：1
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cooperative
An ad-hoc network with a sender, a destination and a third station act-
ing as a relay is analysed. The channels are modelled containing thermal
noise, Rayleigh fading and path loss. Di® erent combining methods and di-
versity protocols are compared. The amplify and forward protocol shows a
better performance than the decode and forward protocol, unless an error
correcting code is simulated. To combine the incoming signals the chan-
nel quality should be estimated as well as possible. Information about the
average quality shows nice bene¯ ts, and a rough approximation about the
variation of the channel quality increases the performance even more.
- 2015-02-27 04:05:00下载
- 积分：1
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Genetic-Algorithm
本遗传算法程序已经调试修改过，有利于初学者上手，如果有不懂，可以参考附带的文献。(The genetic algorithm has been modified to debug, help beginners get started, if you do not understand, you can refer to the accompanying literature.)
- 2014-01-16 11:11:07下载
- 积分：1
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NumericalAnalysisUsingMATLABandSpreadsheets
[CAL] [ENG] Numerical Analysis Using MATLAB and Spreadsheets
- 2010-08-18 20:10:53下载
- 积分：1
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ekf
ekf在无源导航中的应用，涉及到了cv模型的仿真(EKF passive navigation in the application, relates to the cv model simulation)
- 2008-01-04 16:27:40下载
- 积分：1
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Proyecto0305.m
Matlab function. Laplacian enhancement technique described in connection with Eq. (3.7-5). Use the mask shown in Fig. 3.39(d). Gonzalez. Image Processing
- 2009-10-14 23:43:34下载
- 积分：1
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chirpscaling
这是用MATLAB写的一个CS算法的列子，希望对大家有用，(This is used to write a MATLAB algorithm CS Liezi hope everyone useful,)
- 2008-03-24 18:41:23下载
- 积分：1
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Simulink
有关Simulink的通信仿真书，里面描述的很详细！(about at Simulink on communiction book.)
- 2011-05-31 12:58:11下载
- 积分：1
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ELM
In theory, this algorithm tends to provide good generalization performance at extremely fast learning
speed.(The experimental results based on a few artificial and real benchmark function approximation and classification problems
including very large complex applications show that the new algorithm can produce good generalization performance in most cases and
can learn thousands of times faster than conventional popular learning algorithms for feedforward neural networks)
- 2013-03-15 10:21:39下载
- 积分：1
