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ProjectSumo-master

于 2021-02-17 发布
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代码说明：

说明：  project 5G matlab source codes

文件列表：

ProjectSumo-master, 0 , 2021-02-05
ProjectSumo-master\.gitignore, 49 , 2021-02-05
ProjectSumo-master\.ipynb_checkpoints, 0 , 2021-02-05
ProjectSumo-master\.ipynb_checkpoints\Total Throughput-checkpoint.ipynb, 113142 , 2021-02-05
ProjectSumo-master\.ipynb_checkpoints\analyze-checkpoint.ipynb, 505492 , 2021-02-05
ProjectSumo-master\.ipynb_checkpoints\graph-checkpoint.ipynb, 957816 , 2021-02-05
ProjectSumo-master\.vscode, 0 , 2021-02-05
ProjectSumo-master\.vscode\launch.json, 862 , 2021-02-05
ProjectSumo-master\.vscode\settings.json, 3 , 2021-02-05
ProjectSumo-master\Pipfile, 222 , 2021-02-05
ProjectSumo-master\Pipfile.lock, 48518 , 2021-02-05
ProjectSumo-master\analyze.ipynb, 857602 , 2021-02-05
ProjectSumo-master\graph.ipynb, 2244246 , 2021-02-05
ProjectSumo-master\matlab, 0 , 2021-02-05
ProjectSumo-master\matlab\BLER2SNR.asv, 602 , 2021-02-05
ProjectSumo-master\matlab\BLER2SNR.m, 1268 , 2021-02-05
ProjectSumo-master\matlab\Draw_SNR_BLER.m, 570 , 2021-02-05
ProjectSumo-master\matlab\GetBLER_from_CQI_and_SNR.m, 698 , 2021-02-05
ProjectSumo-master\matlab\GetBLERfrom_CQI_and_SNR.asv, 796 , 2021-02-05
ProjectSumo-master\matlab\GetMax_CQI_SINR_BLER.asv, 3101 , 2021-02-05
ProjectSumo-master\matlab\GetMax_CQI_SINR_BLER.m, 3134 , 2021-02-05
ProjectSumo-master\matlab\GetThroughputPerRB.m, 2207 , 2021-02-05
ProjectSumo-master\matlab\InitializeSimulationContext.m, 55 , 2021-02-05
ProjectSumo-master\matlab\NomaPlannerV1, 0 , 2021-02-05
ProjectSumo-master\matlab\NomaPlannerV1\CalcOptGpConfPosOfs.m, 819 , 2021-02-05
ProjectSumo-master\matlab\NomaPlannerV1\CqiMinSINR.m, 1015 , 2021-02-05
ProjectSumo-master\matlab\NomaPlannerV1\NomaPlannerV1.m, 14359 , 2021-02-05
ProjectSumo-master\matlab\NomaPlannerV1\Optimize.m, 14515 , 2021-02-05
ProjectSumo-master\matlab\NomaPlannerV1\TestEntry.m, 1063 , 2021-02-05
ProjectSumo-master\matlab\SINR_Channel_Model.m, 4448 , 2021-02-05
ProjectSumo-master\matlab\SINR_Channel_Model.m.bk, 4440 , 2021-02-05
ProjectSumo-master\matlab\SINR_Channel_Model_5G.m, 15024 , 2021-02-05
ProjectSumo-master\matlab\SINR_Channel_Model_Multi_Var_BS.m, 5739 , 2021-02-05
ProjectSumo-master\matlab\SNR_BLER_CQI.mat, 5715 , 2021-02-05
ProjectSumo-master\matlab\SNR_to_BLER.m, 573 , 2021-02-05
ProjectSumo-master\matlab\SNR_to_BLER.pdf, 5499 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI.m, 2948 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR, 0 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\BLER2SNR.asv, 602 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\BLER2SNR.m, 1268 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\Draw_SNR_BLER.m, 570 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\GetBLER_from_CQI_and_SNR.m, 698 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\GetBLERfrom_CQI_and_SNR.asv, 796 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\GetMax_CQI_SINR_BLER.asv, 3101 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\GetMax_CQI_SINR_BLER.m, 3134 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\SNR_BLER_CQI.mat, 5715 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\SNR_to_BLER.m, 573 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\SNR_to_BLER.pdf, 5499 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_bySNR\SelectCQI.m, 2948 , 2021-02-05
ProjectSumo-master\matlab\SelectCQI_fast_BLER10P.m, 308 , 2021-02-05
ProjectSumo-master\multi.py, 3294 , 2021-02-05
ProjectSumo-master\ntust.net.xml, 91878 , 2021-02-05
ProjectSumo-master\ntust.rou.xml, 65618 , 2021-02-05
ProjectSumo-master\ntust.sumocfg, 393 , 2021-02-05
ProjectSumo-master\od, 0 , 2021-02-05
ProjectSumo-master\od\__init__.py, 16 , 2021-02-05
ProjectSumo-master\od\__init__.pyc, 128 , 2021-02-05
ProjectSumo-master\od\config.py, 5584 , 2021-02-05
ProjectSumo-master\od\engine.py, 418 , 2021-02-05
ProjectSumo-master\od\layer.py, 188 , 2021-02-05
ProjectSumo-master\od\misc, 0 , 2021-02-05
ProjectSumo-master\od\misc\__init__.py, 0 , 2021-02-05
ProjectSumo-master\od\misc\__init__.pyc, 133 , 2021-02-05
ProjectSumo-master\od\misc\interest.py, 590 , 2021-02-05
ProjectSumo-master\od\misc\logger.py, 1289 , 2021-02-05
ProjectSumo-master\od\misc\siminfo.py, 1706 , 2021-02-05
ProjectSumo-master\od\misc\statistic.py, 21503 , 2021-02-05
ProjectSumo-master\od\misc\types.py, 175 , 2021-02-05
ProjectSumo-master\od\network, 0 , 2021-02-05
ProjectSumo-master\od\network\__init__.py, 0 , 2021-02-05
ProjectSumo-master\od\network\__init__.pyc, 136 , 2021-02-05
ProjectSumo-master\od\network\allocator.py, 2558 , 2021-02-05
ProjectSumo-master\od\network\appdata.py, 792 , 2021-02-05
ProjectSumo-master\od\network\application.py, 8213 , 2021-02-05
ProjectSumo-master\od\network\controller.py, 29525 , 2021-02-05
ProjectSumo-master\od\network\model.py, 5453 , 2021-02-05
ProjectSumo-master\od\network\package.py, 960 , 2021-02-05
ProjectSumo-master\od\network\types.py, 355 , 2021-02-05
ProjectSumo-master\od\social, 0 , 2021-02-05
ProjectSumo-master\od\social\__init__.py, 398 , 2021-02-05
ProjectSumo-master\od\social\metaclass.py, 1858 , 2021-02-05
ProjectSumo-master\od\vars.py, 2684 , 2021-02-05
ProjectSumo-master\od\vehicle, 0 , 2021-02-05
ProjectSumo-master\od\vehicle\__init__.py, 15608 , 2021-02-05
ProjectSumo-master\od\vehicle\connection.py, 1676 , 2021-02-05
ProjectSumo-master\od\vehicle\monitor.py, 196 , 2021-02-05
ProjectSumo-master\od\vehicle\request.py, 564 , 2021-02-05
ProjectSumo-master\od\view, 0 , 2021-02-05
ProjectSumo-master\od\view\__init__.py, 90 , 2021-02-05
ProjectSumo-master\single.py, 6653 , 2021-02-05
ProjectSumo-master\wifi.png, 29047 , 2021-02-05

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0 个回复

  • Untitled3
    上传的m文件是采用MATLAb实现的数学曲线拟合(M file uploaded using MATLAB to achieve mathematical curve fitting)
    2013-05-19 19:06:46下载
    积分：1
  • Image20160331Quality
    测试以下图像信息 1。结构内容（SC） 2。均方误差（MSE） 3。峰值信噪比（PSNR值） 4。归一化互相关（NCC） 5。平均差（AD） 6。最大的差异（MD） 7。归一化绝对误差（NAE）(Image/Picture Quality Measures In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images is included in this package. The list of Image Quality measures implemented in this package include, 1. Structural Content (SC) 2. Mean Square Error (MSE) 3. Peak Signal to Noise Ratio (PSNR in dB) 4. Normalized Cross-Correlation (NCC) 5. Average Difference (AD) 6. Maximum Difference (MD) 7. Normalized Absolute Error (NAE) Refer Reference.png for the mathematical expressions implemented in this package. Original images are kept in the folder OriginalImages . Distorted images are kept in the folder DistortedImages .)
    2016-03-31 08:54:35下载
    积分：1
  • yuanhuan
    彩色圆环，按顺时针变化，红橙黄绿蓝靛紫红(Color circle, clockwise change, orange yellow purple indigo)
    2011-07-07 09:44:47下载
    积分：1
  • BookmarkWidgetService
    Bookmark Widget Service Source Code for Andriod.
    2013-11-14 23:58:26下载
    积分：1
  • 1
    说明：  matlab工具箱在应用数学中的应用,包括统计/偏微分/样条/优化工具箱(matlab toolbox in the application of mathematics, including statistical/partial differential/spline/Optimization Toolbox)
    2007-09-27 16:09:44下载
    积分：1
  • extractingObjects
    This is a program for extracting objects from an image. Written for vehicle number plate segmentation and extraction. Authors : Jeny Rajan, Chandrashekar P S. U can use attached test image for testing input - give the image file name as input. eg :- car3.jpg(This is a program for extracting objects from an image. Written for vehicle number plate segmentation and extraction. Authors : Jeny Rajan, Chandrashekar P S. U can use attached test image for testing input- give the image file name as input. eg :- car3.jpg)
    2009-10-21 00:40:47下载
    积分：1
  • qdr-paper
    基于四叉树与图割的遥感图像分割方法，关于四叉树和图割的应用(Quadtree-based remote sensing image and graph cuts segmentation method, on the quad tree and the application of graph cuts)
    2011-01-17 15:34:36下载
    积分：1
  • gprmax-tools
    GprMax的理论基础是时域有限差分(FDTD)方法。时域有限差分方法直接将Maxwell方程作差分离散，利用二阶精度的中心差分近似把Maxwell方程中的微分算符直接转换为差分形式，在空间和时间上对电场和磁场交替间隔取样，使计算过程完全模拟电磁波逐步传播以及与目标物体相互作用的过程。(GprMax is based on the theory of the finite difference time domain (FDTD) method. The finite difference time domain method directly will Maxwell equation of discrete difference, using second order precision of the central difference in the equations are Maxwell approximate differential operator directly convert difference forms, in the space and time of electric field and magnetic field on alternate sampling interval, making the calculation process simulation electromagnetic wave propagation and completely step by step and target object interaction process. )
    2012-01-18 10:26:29下载
    积分：1
  • rengongmianyisuanfa
    人工免疫算法的一些论文.是大家搜集起来的,个人感觉很不错.(Artificial immune algorithm a number of papers. Is to gather everyone up, personal feeling is pretty good.)
    2007-09-01 21:19:06下载
    积分：1
  • FFT
    这是一个快速傅里叶变换分析谐波类程序，以及生成火柴梗图的程序(This is a class of fast Fourier transform analysis of harmonic procedures, and the program generates Stick Figure)
    2010-11-29 14:34:04下载
    积分：1
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