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Sensors 2018, 18(12), 4334; https://doi.org/10.3390/s18124334 (registering DOI)

A Novel Instantaneous Phase Detection Approach and Its Application in SSVEP-Based Brain-Computer Interfaces

1
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
2
College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
*
Author to whom correspondence should be addressed.
Received: 17 October 2018 / Revised: 29 November 2018 / Accepted: 3 December 2018 / Published: 7 December 2018
PDF [539 KB, uploaded 7 December 2018]

Abstract

This paper proposes a novel phase estimator based on fully-traversed Discrete Fourier Transform (DFT) which takes all possible truncated DFT spectra into account such that it possesses two merits of `direct phase extraction’ (namely accurate instantaneous phase information can be extracted without any correction) and suppressing spectral leakage. This paper also proves that the proposed phase estimator complies with the 2-parameter joint estimation model rather than the conventional 3-parameter joint model. Numerical results verify the above two merits and demonstrate that the proposed estimator can extract phase information from noisy multi-tone signals. Finally, real data analysis shows that fully-traversed DFT can achieve a better classification on the phase of steady-state visual evoked potential (SSVEP) brain-computer interface (BCI) than the conventional DFT estimator does. Besides, the proposed phase estimator imposes no restrictions on the relationship between the sampling rates and the stimulus frequencies, thus it is capable of wider applications in phase-coded SSVEP BCIs, when compared with the existing estimators.
Keywords: fully-traversed DFT; phase estimator; direct phase extraction; spectral leakage; SSVEP fully-traversed DFT; phase estimator; direct phase extraction; spectral leakage; SSVEP
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Huang, X.; Xu, J.; Wang, Z. A Novel Instantaneous Phase Detection Approach and Its Application in SSVEP-Based Brain-Computer Interfaces. Sensors 2018, 18, 4334.

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