Do Anh Quan, L.; Thi Trang, L.; Joo, H.; Kim, D.; Woo, J.
A Novel Computationally Efficient Approach for Exploring Neural Entrainment to Continuous Speech Stimuli Incorporating Cross-Correlation. Appl. Sci. 2023, 13, 9839.
https://doi.org/10.3390/app13179839
AMA Style
Do Anh Quan L, Thi Trang L, Joo H, Kim D, Woo J.
A Novel Computationally Efficient Approach for Exploring Neural Entrainment to Continuous Speech Stimuli Incorporating Cross-Correlation. Applied Sciences. 2023; 13(17):9839.
https://doi.org/10.3390/app13179839
Chicago/Turabian Style
Do Anh Quan, Luong, Le Thi Trang, Hyosung Joo, Dongseok Kim, and Jihwan Woo.
2023. "A Novel Computationally Efficient Approach for Exploring Neural Entrainment to Continuous Speech Stimuli Incorporating Cross-Correlation" Applied Sciences 13, no. 17: 9839.
https://doi.org/10.3390/app13179839
APA Style
Do Anh Quan, L., Thi Trang, L., Joo, H., Kim, D., & Woo, J.
(2023). A Novel Computationally Efficient Approach for Exploring Neural Entrainment to Continuous Speech Stimuli Incorporating Cross-Correlation. Applied Sciences, 13(17), 9839.
https://doi.org/10.3390/app13179839