Academic Journal
Real-time Compressing Algorithm based on Outer-trajectory Measurement Data
| العنوان: | Real-time Compressing Algorithm based on Outer-trajectory Measurement Data |
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| المؤلفون: | Wu Jin Mei, Ling Xiao Dong, Hu Shang Cheng, Wang Zhen Ping |
| المصدر: | MATEC Web of Conferences, Vol 63, p 05034 (2016) |
| بيانات النشر: | EDP Sciences |
| سنة النشر: | 2016 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Outer-trajectory measurement data, Polynomial fitting, Compressing, Noise filtering, Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | Since huge sample datum has to be compressed properly in pre-processing to be sent out, a good compression algorithm will evidently improve the precision of the data-processing. In this paper, a compressing algorithm was studied based on polynomial fitting method. During the process of the real-time trajectory data compression, datasets were successively accumulated according to compression ratio. To apply all the information in the dataset, a series of orthogonal polynomial basis were applied to fitting the function, the least square estimation method was used to filter noise, and the estimated values of the position and the speed from differentiation of object datum in the dataset were sent out as compressed datum. And to get the best filter parameters, the mathematical expression of the error expectations and variances were studied. The compressing principle was given by considering the truncation error and random error simultaneously, which showed that, the best filter was the one by 21-point 3-order polynomial for position data compressing, while for speed data the filter by 41-point 2-order polynomial was better. The theoretical analysis and the simulation results were also provided to prove the effectiveness of this algorithm in data-compression and noise filtering. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English French |
| تدمد: | 2261-236X |
| Relation: | http://dx.doi.org/10.1051/matecconf/20166305034; https://doaj.org/toc/2261-236X; https://doaj.org/article/6a990fb3af8d4770bb2e29740672da98 |
| DOI: | 10.1051/matecconf/20166305034 |
| الاتاحة: | https://doi.org/10.1051/matecconf/20166305034 https://doaj.org/article/6a990fb3af8d4770bb2e29740672da98 |
| رقم الانضمام: | edsbas.C14734BB |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 2261236X |
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| DOI: | 10.1051/matecconf/20166305034 |