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| Application of Gram Polynomials Fitting Technique in Noise Removal of Cross-directional Basis Weight Measurement Data of Paper Machines |
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| DOI： |
| Key Words:cross-directional basis weight； noise removal processing； Gram polynomials |
| Fund Project:陕西省教育厅科研计划项目（2013JK1063）；陕西省教育厅自然科学研究项目（2013JK1062）。 |
| Author Name | Affiliation | | 连钰洋1 | 1.陕西科技大学电气与信息工程学院，陕西西安，710021 | | 汤 伟1 | 1.陕西科技大学电气与信息工程学院，陕西西安，710021 | | 胡连华2 | 2.陕西科技大学轻工与能源学院，陕西西安，710021 | | 刘慧忠1 | 1.陕西科技大学电气与信息工程学院，陕西西安，710021 |
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| Abstract: |
| As conventional noise removal methods can not meet the requirement of higher performance cross-directional basis weight control, a new method using Gram polynomials fitting technique was proposed. The simulation results showed that the method had good noise removal effect for Gaussian noise and uniform noise. After the cross-directional basis weight measurement data was processed, the gained data was smooth and it was closer to the true basis weight of the paper． |
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