Data Augmentation Methods for Electric Automobile Noise Design from Multi-Channel Steering Accelerometer Signals

Yongwon Jo, Keewon Jeong, Sihu Ahn, Eunji Koh, Eunsung Ko, Seoung Bum Kim. Data Augmentation Methods for Electric Automobile Noise Design from Multi-Channel Steering Accelerometer Signals. In Kohei Arai, editor, Intelligent Systems and Applications - Proceedings of the 2022 Intelligent Systems Conference, IntelliSys 2022, Amsterdam, The Netherlands, 1-2 September, 2022, Volume 1. Volume 542 of Lecture Notes in Networks and Systems, pages 679-684, Springer, 2022. [doi]

@inproceedings{JoJAKKK22,
  title = {Data Augmentation Methods for Electric Automobile Noise Design from Multi-Channel Steering Accelerometer Signals},
  author = {Yongwon Jo and Keewon Jeong and Sihu Ahn and Eunji Koh and Eunsung Ko and Seoung Bum Kim},
  year = {2022},
  doi = {10.1007/978-3-031-16072-1_49},
  url = {https://doi.org/10.1007/978-3-031-16072-1_49},
  researchr = {https://researchr.org/publication/JoJAKKK22},
  cites = {0},
  citedby = {0},
  pages = {679-684},
  booktitle = {Intelligent Systems and Applications - Proceedings of the 2022 Intelligent Systems Conference, IntelliSys 2022, Amsterdam, The Netherlands, 1-2 September, 2022, Volume 1},
  editor = {Kohei Arai},
  volume = {542},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-031-16072-1},
}