【作者单位】; 1 Wuhan Univ, Elect Informat Sch, Wuhan, Peoples R China ; 2 Tibet Univ, Sch Engn, Lhasa, Peoples R China ; 3 Tibet Univ, Sch Tourism & Foreign Languages, Lhasa, Peoples R China
【召开年】2014
【会议录】PROCEEDINGS OF 2014 IEEE WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS (WARTIA)
【摘要】 It is difficult to analyze atmosphere laser communication channel under rainy condition with traditional mathematics methods. Weights feature extracting technology, as a novel data analysis tool to extract training data sets' feature information from...
