文章詳目資料
Journal of Computers EIMEDLINEScopus
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| 篇名 | A Fast Algorithm of Dynamic Weighing Based on Weighted Least Square Method |
|---|---|
| 卷期 | 31:3 |
| 作者 | Mei-Leng Yuan 、 Fan-Hao Kong |
| 頁次 | 319-326 |
| 關鍵字 | data denoising 、 dynamic weighing 、 filtering 、 fitting 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 202006 |
| DOI | 10.3966/199115992020063103025 |
中文摘要
英文摘要
In dynamic weighing, the measurement accuracy is poor because of the jitter of dynamic data and noise interference. In this paper, through two aspects of filtering and data fitting, a fast algorithm of dynamic weighing based on weighted least square method is proposed, and the experimental verification of filtering and linear fitting algorithm of dynamic weighing data of living body is carried out, and compared with three traditional algorithms. The experimental results show that the proposed algorithm is better than the above algorithm in error.
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