- 期刊
Study on Compressive Sensing in the Application of Wireless Localization
並列摘要
Compressive sensing is a revolutional theorem beyond Nyquist sampling theorem which is emerged recently. This paper aims to present the key ideas underlying the CS theorem as well as show the novel applications of CS in the area of wireless localization. By using this new theorem, some wireless localization problems can be better solved than the conventional methods.
被引用紀錄
吳哲維（2013）。應用於H.264/AVC視訊壓縮的整數離散餘弦轉換之退化型壓縮感測演算法研究〔碩士論文，淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2013.00876
Teng, S. H. (2017). 電影形式與媒介共生：一九八零年代台灣的城市與電影 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201702015
延伸閱讀
- Lin, S. Y. (2008). A Distributed Localization Scheme for Wireless Sensor Networks [master's thesis, Yuan Ze University]. Airiti Library. https://doi.org/10.6838/YZU.2008.00209
- Lee, Y. C. (2006). A Localization Scheme in Wireless Sensor Networks [master's thesis, Tatung University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0081-0607200917232536
- Wang, S. S. (2006). Localization and Tracking in Wireless Sensor Networks [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2006.00533
- Cheng, K. Y. (2006). Localization in wireless sensor networks [master's thesis, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200013592
- Thanh, C. (2008). Distributed Learning for Localization Applications in Wireless Sensor Networks [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2008.00107