EISA:Embry-Riddle电离层闪烁算法。用于大气数据处理和分析的模型(电离层闪烁和总电子含量-TEC)-源码

上传者: 42134769 | 上传时间: 2021-09-09 18:43:37 | 文件大小: 7.57MB | 文件类型: ZIP
胸壁电离层闪烁算法(EISA) 作者:Nicolas Gachancipa 全球导航卫星系统(GNSS)团队 太空物理研究实验室-里伯里德航空大学 有关GNSS团队的更多信息,请访问

文件下载

资源详情

[{"title":"( 83 个子文件 7.57MB ) EISA:Embry-Riddle电离层闪烁算法。用于大气数据处理和分析的模型(电离层闪烁和总电子含量-TEC)-源码","children":[{"title":"EISA-master","children":[{"title":"EISA_GUI.py <span style='color:#111;'> 69.75KB </span>","children":null,"spread":false},{"title":"EISA_parameters.config <span style='color:#111;'> 225B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 286B </span>","children":null,"spread":false},{"title":"Parsing","children":[{"title":"ParseRaw.exe <span style='color:#111;'> 70.98KB </span>","children":null,"spread":false},{"title":"parseraw.cpp <span style='color:#111;'> 32.57KB </span>","children":null,"spread":false},{"title":"parsereduced.cpp <span style='color:#111;'> 27.11KB </span>","children":null,"spread":false},{"title":"support_parsing_functions.py <span style='color:#111;'> 6.63KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"~gvfZOh8.tmp <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false},{"title":"~gvfEyuG.tmp <span style='color:#111;'> 3.95KB </span>","children":null,"spread":false},{"title":"parsing.cpython-37.pyc <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"~gvfsM7P.tmp <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false},{"title":"support_parsing_functions.cpython-38.pyc <span style='color:#111;'> 3.95KB </span>","children":null,"spread":false},{"title":"support_parsing_functions.cpython-37.pyc <span style='color:#111;'> 3.92KB </span>","children":null,"spread":false},{"title":"support_parsing_functions.cpython-36.pyc <span style='color:#111;'> 3.91KB </span>","children":null,"spread":false},{"title":"parsing.cpython-36.pyc <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"parsing.cpython-38.pyc <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"~gvfllt8.tmp <span style='color:#111;'> 3.95KB </span>","children":null,"spread":false},{"title":"Parsing.cpython-38.pyc <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false}],"spread":false},{"title":"parse_settings_default.csv <span style='color:#111;'> 570B </span>","children":null,"spread":false},{"title":"output <span style='color:#111;'> 54.93KB </span>","children":null,"spread":false},{"title":"ParseReduced.exe <span style='color:#111;'> 64.60KB </span>","children":null,"spread":false},{"title":"parsing.py <span style='color:#111;'> 2.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"EISA.py <span style='color:#111;'> 20.50KB </span>","children":null,"spread":false},{"title":"EISA.bat <span style='color:#111;'> 62B </span>","children":null,"spread":false},{"title":"EISA_objects.py <span style='color:#111;'> 5.69KB </span>","children":null,"spread":false},{"title":"Graphing","children":[{"title":"support_graphing_functions.py <span style='color:#111;'> 13.26KB </span>","children":null,"spread":false},{"title":"~gvfInwr.tmp <span style='color:#111;'> 14.46KB </span>","children":null,"spread":false},{"title":"Instructions.docx <span style='color:#111;'> 433.92KB </span>","children":null,"spread":false},{"title":"graphing.py <span style='color:#111;'> 15.52KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"graphing.cpython-38.pyc <span style='color:#111;'> 5.98KB </span>","children":null,"spread":false},{"title":"graphing.cpython-36.pyc <span style='color:#111;'> 5.95KB </span>","children":null,"spread":false},{"title":"~gvfUQ7E.tmp <span style='color:#111;'> 9.56KB </span>","children":null,"spread":false},{"title":"support_graphing_functions.cpython-37.pyc <span style='color:#111;'> 10.34KB </span>","children":null,"spread":false},{"title":"~gvfjOi9.tmp <span style='color:#111;'> 5.97KB </span>","children":null,"spread":false},{"title":"graphing.cpython-37.pyc <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"~gvfCL23.tmp <span style='color:#111;'> 5.97KB </span>","children":null,"spread":false},{"title":"~gvfUeV6.tmp <span style='color:#111;'> 5.95KB </span>","children":null,"spread":false},{"title":"Graphing.cpython-38.pyc <span style='color:#111;'> 5.98KB </span>","children":null,"spread":false},{"title":"~gvf8FDG.tmp <span style='color:#111;'> 5.95KB </span>","children":null,"spread":false},{"title":"~gvf9pRj.tmp <span style='color:#111;'> 5.94KB </span>","children":null,"spread":false},{"title":"support_graphing_functions.cpython-38.pyc <span style='color:#111;'> 9.56KB </span>","children":null,"spread":false},{"title":"~gvf8f74.tmp <span style='color:#111;'> 9.56KB </span>","children":null,"spread":false},{"title":"~gvffGZ2.tmp <span style='color:#111;'> 5.94KB </span>","children":null,"spread":false},{"title":"support_graphing_functions.cpython-36.pyc <span style='color:#111;'> 9.46KB </span>","children":null,"spread":false},{"title":"graphing.cpython-39.pyc <span style='color:#111;'> 5.94KB </span>","children":null,"spread":false}],"spread":false},{"title":"graph_settings_default.csv <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"~$structions.docx <span style='color:#111;'> 162B </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"EISA_objects.cpython-37.pyc <span style='color:#111;'> 4.31KB </span>","children":null,"spread":false},{"title":"EISA.cpython-39.pyc <span style='color:#111;'> 9.80KB </span>","children":null,"spread":false},{"title":"EISA_GUI.cpython-38.pyc <span style='color:#111;'> 36.51KB </span>","children":null,"spread":false},{"title":"EISA_objects.cpython-39.pyc <span style='color:#111;'> 4.51KB </span>","children":null,"spread":false},{"title":"EISA.cpython-37.pyc <span style='color:#111;'> 11.54KB </span>","children":null,"spread":false},{"title":"EISA.cpython-38.pyc <span style='color:#111;'> 11.39KB </span>","children":null,"spread":false},{"title":"EISA_objects.cpython-38.pyc <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false}],"spread":true},{"title":"requirements.txt <span style='color:#111;'> 149B </span>","children":null,"spread":false},{"title":".idea","children":[{"title":".gitignore <span style='color:#111;'> 39B </span>","children":null,"spread":false},{"title":"vcs.xml <span style='color:#111;'> 180B </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 199B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 260B </span>","children":null,"spread":false},{"title":"EISA.iml <span style='color:#111;'> 750B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"archived.py <span style='color:#111;'> 18.97KB </span>","children":null,"spread":false},{"title":"ML","children":[{"title":"ML_GUI_parameters.npy <span style='color:#111;'> 5.63KB </span>","children":null,"spread":false},{"title":"neural_network.py <span style='color:#111;'> 12.46KB </span>","children":null,"spread":false},{"title":"sigma_scintillation_training_data.csv <span style='color:#111;'> 23.54MB </span>","children":null,"spread":false},{"title":"s4_scintillation_training_data.csv <span style='color:#111;'> 329.71KB </span>","children":null,"spread":false},{"title":"sigma_scintillation.h5 <span style='color:#111;'> 190.23KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"neural_network.cpython-37.pyc <span style='color:#111;'> 7.01KB </span>","children":null,"spread":false},{"title":"~gvfOp1d.tmp <span style='color:#111;'> 7.09KB </span>","children":null,"spread":false},{"title":"support_ML_functions.cpython-38.pyc <span style='color:#111;'> 6.79KB </span>","children":null,"spread":false},{"title":"~gvfu8m1.tmp <span style='color:#111;'> 4.07KB </span>","children":null,"spread":false},{"title":"~gvfQI1v.tmp <span style='color:#111;'> 7.09KB </span>","children":null,"spread":false},{"title":"neural_network.cpython-36.pyc <span style='color:#111;'> 7.04KB </span>","children":null,"spread":false},{"title":"~gvfk18n.tmp <span style='color:#111;'> 6.78KB </span>","children":null,"spread":false},{"title":"RNN.cpython-38.pyc <span style='color:#111;'> 4.07KB </span>","children":null,"spread":false},{"title":"~gvfjpnT.tmp <span style='color:#111;'> 4.07KB </span>","children":null,"spread":false},{"title":"support_ML_functions.cpython-37.pyc <span style='color:#111;'> 6.71KB </span>","children":null,"spread":false},{"title":"neural_network.cpython-38.pyc <span style='color:#111;'> 7.10KB </span>","children":null,"spread":false},{"title":"~gvfWpkV.tmp <span style='color:#111;'> 6.78KB </span>","children":null,"spread":false}],"spread":false},{"title":"s4_scintillation.h5 <span style='color:#111;'> 185.23KB </span>","children":null,"spread":false},{"title":"support_ML_functions.py <span style='color:#111;'> 8.52KB </span>","children":null,"spread":false}],"spread":true},{"title":"SPRL_logo.JPG <span style='color:#111;'> 19.14KB </span>","children":null,"spread":false},{"title":"EISA_parameters.csv <span style='color:#111;'> 424B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明