|
![本文二维码信息](/download_upload_file.aspx?file_name=/uploadfile/two_dimensional_code_img/zgzzen/2021/12/202112009.png) 二维码(扫一下试试看!) |
Study on Harmonic Detection Method Based on Compressed Sensing and Convolutional Neural Network |
Received:July 26, 2021 |
DOI:10.11980/j.issn.0254-508X.2021.12.009 |
Key Words:papermaking industry harmonic detection compression sensing convolutional neural network |
Fund Project:国家自然科学基金(面上)项目(62073206);陕西省自然科学基础研究计划项目(2019JQ-551)。 |
|
Hits: 2691 |
Download times: 1661 |
Abstract:A new harmonic detection method based on compressed sensing (CS) and convolutional neural network (CNN) was proposed in this paper. A harmonic detection framework with compressed sampling and reconstruction function was established based on CS theory, and a reconstruction network with transform free dictionary was designed via CNN theory. The results showed that the method proposed in this paper was feasible and provided a new method for harmonic detection in papermaking industry. |
View Full Text HTML View/Add Comment Download reader |