An Optimized Algorithm for Lossy Compression of Real-Time Data
The Swinging Door Trending algorithm and the Douglas-Peucker algorithm are both staple Iossy compression algorithms. The former one is widely used in realtime database software of industry, while the latter one is more popular for spatial data processing, in this paper, these two algorithms are compared first to summarize their advantages and disadvantages. And then, an optimized Iossy compression algorithm for real-time data as well as a variant of it under certain constraints is proposed with the strategy searching the farthest feasible point. The experimental results show that the new algorithm is better than the conventional Swinging Door Trending algorithm and Douglas-Peucker algorithm at compression rate, overall error, and efficiency.
Swinging Door Trending algorithm DouglasPeucker algorithm real-time data Iossy compression
Gang Chen Li Li
International School of Software Wuhan University Wuhan, China
国际会议
厦门
英文
187-191
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）