Title :
An improved algorithm of compressing redundant data
Author :
Zhu, Yaohua ; Hao, Wenning ; Chen, Gang ; Zhao, Shuining ; Jin, Dawei
Author_Institution :
Eng. Inst. of Corps of Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
The database has a large redundant data for Compass Navigation Satellite System (CNSS) always gives different values in different time even the user is stationary. In order to solve the problem, this paper first analyzes the existing algorithm of compressing redundant data based on clustering, and then proposes a comparison algorithm based on time-series. The latter deletes the redundant data so concisely and avoids analyzing the various movement characteristic of users.
Keywords :
aerospace computing; compasses; data compression; database management systems; pattern clustering; satellite navigation; time series; CNSS; clustering; comparison algorithm; compass navigation satellite system; database; improved algorithm; redundant data compression; time-series; Clustering algorithms; Compass; Data mining; Feature extraction; Measurement uncertainty; Position measurement; Time measurement; clustering; compass; data compression; redundant data; time-series;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057890
