English  |  正體中文  |  简体中文  |  總筆數 :2822924  
造訪人次 :  30015202    線上人數 :  1094
教育部委託研究計畫      計畫執行:國立臺灣大學圖書館
 
臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
關於TAIR

瀏覽

消息

著作權

相關連結

"lin tsung nan"的相關文件

回到依作者瀏覽
依題名排序 依日期排序

顯示項目 1-10 / 23 (共3頁)
1 2 3 > >>
每頁顯示[10|25|50]項目

機構 日期 題名 作者
國立成功大學 2021-02-04 撓曲主動薄版單元應用於輕量曲面結構之研究 林琮楠; Lin, Tsung-Nan
臺大學術典藏 2018-09-10T07:37:13Z Is FM a RF-based positioning solution in a metropolitan-scale environment? A probabilistic approach with radio measurements analysis Fang, Shih-Hau;Chen, Jen-Chian;Huang, Hao-Ru;Lin, Tsung-Nan; Fang, Shih-Hau; Chen, Jen-Chian; Huang, Hao-Ru; Lin, Tsung-Nan; TSUNG-NAN LIN
臺大學術典藏 2018-09-10T07:04:05Z Adaptive-hierarchical filtering approach for noise removal Lin, T.-N.; Chan, K.-J.; Lin, Tsung-Nan
臺大學術典藏 2018-09-10T07:04:04Z Indoor location system based on discriminant-adaptive neural network in IEEE 802.11 environments Fang, Shih-Hau; Lin, Tsung-Nan; TSUNG-NAN LIN
臺大學術典藏 2018-09-10T05:23:40Z Handoff ordering using link quality estimator for multimedia communications in wireless networks TSUNG-NAN LIN; Lin, Po-Chiang; Lin, Tsung-Nan
臺大學術典藏 2018-09-10T03:29:42Z Adaptive-hierarchical-filtering technique for high-quality magazine image reproduction Shu, Joseph; Lin, Tsung Nan; Bhattacharjya, Anoop; Shiozaki, Tadashi; TSUNG-NAN LIN
國立成功大學 2013-10 Underwater positioning by kernel principal component analysis based probabilistic approach Chan, Sheng-Chih; Lee, Kun-Chou; Lin, Tsung-Nan; Fang, Ming-Chung
國立成功大學 2009-04 An Automatically Converging Scheme Based on the Neural Network and Its Application in Antennas Lee, Kun-Chou; Jhang, Jhen-Yan; Lin, Tsung-Nan
國立臺灣大學 2009 Is FM a RF-Based Positioning Solution in a Metropolitan-Scale Environment? A Probabilistic Approach With Radio Measurements Analysis Fang, Shih-Hau; Chen, Jen-Chian; Huang, Hao-Ru; Lin, Tsung-Nan
國立臺灣大學 2009 An Automatically Converging Scheme Based on the Neural Network and Its Application in Antennas Lee, Kun-Chou; Jhang, Jhen-Yan; Lin, Tsung-Nan

顯示項目 1-10 / 23 (共3頁)
1 2 3 > >>
每頁顯示[10|25|50]項目