An online noise reduction method for sequential data based on Bernstein-Bezier curve formulation
by Weimin Gao; Xiaoyong Fang; Jingguo Zhao; Qingyun Luo; Jun Hong
International Journal of Computer Applications in Technology (IJCAT), Vol. 51, No. 1, 2015

Abstract: Noise reduction is an important research issue for computer data processing, especially for sequential data. In recent years, owing to the fast development of computer application, the online noise reduction for the sequential data has become an increasingly important research focus. On the basis of Bernstein-Bezier curve formulation, the paper distilled its feature model and proposed a novel online curve (online Bernstein-Bezier curve, OBB curve)-based noise reduction method. OBB curve is a novel curve with online construction characteristics, which is easy, flexible, effective and highly extendable (can be easily extended to reduce noise for n-dimensional sequential data). Experiments prove that OBB curve is a novel online curve, and the online noise reduction with the OBB curve is feasible and effective.

Online publication date: Wed, 01-Apr-2015

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