一种改进的RLS自适应滤波算法用于处理人体平衡信号

2011 International Conference on Future Computer Science and Education Pub Date : 2011-08-20 DOI:10.1109/ICFCSE.2011.73

Li Gui-qing, Yang Ji-mei, Li Xiang-chen

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引用次数: 5

摘要

人体平衡测量与分析系统对人体重心的精度要求很高。本文针对噪声滤波问题，分析了常用数据平滑方法和经典RLS算法的不足，提出了一种改进的RLS自适应滤波算法，实际应用效果极为理想。

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An Improved RLS Adaptive Filter Algorithm Used to Process Human Body Balance Signal

The human body balance measurement and analysis system ask for high precision to the center of gravity. This article in view of noise filter problem, analyze the insufficiency of commonly used data smoothing method and the classics RLS algorithm, proposed one kind of improved RLS adaptive filtering algorithm, the practical application effect is extremely ideal.

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来源期刊

2011 International Conference on Future Computer Science and Education

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