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多智能体一阶二阶一致性 matlab 仿真

于 2021-03-18 发布

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下载积分: 1 下载次数: 10

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说明：多智能体一阶二阶一致性 matlab 仿真,对编队的控制实现(Matlab simulation of multi-agent first-order and second-order consistency is used to realize the formation control)

文件列表：

说明.txt, 181 , 2019-06-10
多智能体一阶二阶一致性 matlab 仿真, 0 , 2019-03-12
多智能体一阶二阶一致性 matlab 仿真\WechatIMG2.jpeg, 110229 , 2018-07-29
__MACOSX, 0 , 2019-03-12
__MACOSX\多智能体一阶二阶一致性 matlab 仿真, 0 , 2019-03-12
__MACOSX\多智能体一阶二阶一致性 matlab 仿真\._WechatIMG2.jpeg, 266 , 2018-07-29
多智能体一阶二阶一致性 matlab 仿真\.DS_Store, 6148 , 2019-03-12
__MACOSX\多智能体一阶二阶一致性 matlab 仿真\._.DS_Store, 120 , 2019-03-12
多智能体一阶二阶一致性 matlab 仿真\固定系统一致性.zip, 11621 , 2019-03-12
__MACOSX\多智能体一阶二阶一致性 matlab 仿真\._固定系统一致性.zip, 753 , 2019-03-12

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MINTREEK
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一篇关于高精度的，对声源定位的的方法介绍(_A High-Accuracy, Low-Latency Technique for Talker Localization in Reverberant Environments Using Microphone Arrays----SRP-PHAT)

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2013-11-25 21:45:05下载

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For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).

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