A sequential prediction method of quasi-periodicity based on Gaussian process state space model

Akira Tamamori, Tomoko Matsui. A sequential prediction method of quasi-periodicity based on Gaussian process state space model. In 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019, Lanzhou, China, November 18-21, 2019. pages 255-261, IEEE, 2019. [doi]

@inproceedings{TamamoriM19,
  title = {A sequential prediction method of quasi-periodicity based on Gaussian process state space model},
  author = {Akira Tamamori and Tomoko Matsui},
  year = {2019},
  doi = {10.1109/APSIPAASC47483.2019.9023178},
  url = {https://doi.org/10.1109/APSIPAASC47483.2019.9023178},
  researchr = {https://researchr.org/publication/TamamoriM19},
  cites = {0},
  citedby = {0},
  pages = {255-261},
  booktitle = {2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019, Lanzhou, China, November 18-21, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-3248-8},
}