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Vehicular_AdHoc_Networks_Simulation-master

于 2020-12-13 发布

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下载积分: 1 下载次数: 1

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代码说明：

说明：一个基于python 的V2V仿真代码。(the code is about V2V communication simulation)

文件列表：

Vehicular_AdHoc_Networks_Simulation-master, 0 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\CoopVANETs, 0 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\CoopVANETs\.ipynb_checkpoints, 0 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\CoopVANETs\.ipynb_checkpoints\OptimizationAlg-checkpoint.ipynb, 88548 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\CoopVANETs\OptimizationAlg.ipynb, 88548 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\README.md, 2960 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\communication_terminal.py, 1823 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\communication_terminal.pyc, 2072 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\demo.py, 8731 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\scenario.py, 17362 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\scenario.pyc, 10104 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\vehicle.py, 4507 , 2017-07-14
Vehicular_AdHoc_Networks_Simulation-master\vehicle.pyc, 4170 , 2017-07-14

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采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。(The use of filters will be blind source separation and sound localization together. Filter group were sub-band treatment, and in each sub-band in Sound Source Localization, and finally all the sub-band is estimated to be more than the direction of sound source location information, as well as sound source information as ICA analysis of the binding conditions, colored noise can be better and many of the blind source separation effect. Its advantage lies in a number of filter banks with estimated sound source direction, coupled with an appropriate balance weights can be obtained after the better estimate.)

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