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MATLAB
MATLAB仿真作业。
1.Huffman编码
2.qpsk调制与解调
3.hamming信道编码(MATLAB simulation of operation. 1.Huffman coded modulation and demodulation 2.qpsk channel coding 3.hamming)
- 2009-12-09 16:14:59下载
- 积分：1
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粒子群最优解
粒子群算法例程,之前数学建模美赛时使用的代码，发出来和大家分享一下(PSO.rar Particle swarm algorithm routines, mathematical modeling used before the contest code used to send out to share with you)
- 2018-04-21 11:38:25下载
- 积分：1
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Dc-motor-control-system-automatic-control-course-d
直流电机PI控制器稳态误差分析，自动控制的简单应用。(PI controller, DC motor steady-state error analysis, the simple application of automatic control.)
- 2010-06-30 13:06:51下载
- 积分：1
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Implementation
在此pdf文件里论诉了MATLAB图像合成的相关知识，并给出了其具体实现。我自己已经实现过，代码很全没有问题。(In this pdf document on the MATLAB Image Synthesis v. knowledge, and gives the concrete realization. I myself have been achieved, the code is no problem with the whole.)
- 2009-05-22 11:39:31下载
- 积分：1
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Attachments_2012_03_11.zip.mmmmm
optimization with iteration pso
- 2014-08-22 19:24:34下载
- 积分：1
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SED03_LAB_3
explain simulink matlab pmsm motor
- 2012-01-16 17:56:24下载
- 积分：1
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MFAC code
无模型自适应控制算例代码，供初学者使用。(code for model free adaptive control, for beginner reference)
- 2020-09-03 15:58:06下载
- 积分：1
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天津波
说明： FLAC3D地震荷载加载动力计算常用天津波完整原始数据(Commonly used Tianjin wave complete raw data)
- 2020-07-05 09:40:02下载
- 积分：1
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12.ISCA-RJRS-2013-290
Application of spread spectrum for satellite land mobile systems is difficult in satellite link because of synchronization and
providing code or considerable Doppler shift. This is particularly high for LEO satellites. So that, a Doppler shift carrying a
frequency in band S can reach to several tens of kHz. To estimate and compensate Doppler, a CW pilot carrier is used. The
aim of this study is simulate Doppler frequency estimation using MIMO-OFDM technique. Finally, the proposed algorithm is
compared to MMSE algorithm in order to insure its performance.
- 2014-11-18 18:46:09下载
- 积分：1
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WindyGridWorldQLearning
Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian
domains. It amounts to an incremental method for dynamic programming which imposes limited computational
demands. It works by successively improving its evaluations of the quality of particular actions at particular states.
This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins
(1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions
are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions
to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed
each iteration, rather than just one.
- 2013-04-19 14:23:35下载
- 积分：1
