Liu, X., Sun, Y., Zheng, D., & Na, R. (2023). Hilbert–Huang Transformation-based subject-specific time–frequency-space pattern optimization for motor imagery electroencephalogram classification. Measurement : journal of the International Measurement Confederation, 223, 113673. https://doi.org/10.1016/j.measurement.2023.113673
Chicago Style (17th ed.) CitationLiu, Xiaolin, Ying Sun, Dezhi Zheng, and Rui Na. "Hilbert–Huang Transformation-based Subject-specific Time–frequency-space Pattern Optimization for Motor Imagery Electroencephalogram Classification." Measurement : Journal of the International Measurement Confederation 223 (2023): 113673. https://doi.org/10.1016/j.measurement.2023.113673.
MLA (9th ed.) CitationLiu, Xiaolin, et al. "Hilbert–Huang Transformation-based Subject-specific Time–frequency-space Pattern Optimization for Motor Imagery Electroencephalogram Classification." Measurement : Journal of the International Measurement Confederation, vol. 223, 2023, p. 113673, https://doi.org/10.1016/j.measurement.2023.113673.