Applications of momentary Fourier transform in frequency shift keying signal demodulation

2012 ◽  
Vol 27 (10) ◽  
pp. 2022-2029 ◽  
Author(s):  
Zhonghui Chen ◽  
Yiwen Xu ◽  
Weixing Wang ◽  
Xinxin Feng
2020 ◽  
pp. 1-15
Author(s):  
Dechun Zhao ◽  
Xiaoxiang Li ◽  
Xiaorong Hou ◽  
Mingyang Feng ◽  
Renping Jiang

BACKGROUND: The frequencies that can evoke strong steady state visual evoked potentials (SSVEP) are limited, which leads to brain-computer interface (BCI) instruction limitation in the current SSVEP-BCI. To solve this problem, the visual stimulus signal modulated by trinary frequency shift keying was introduced. OBJECTIVE: The main purpose of this paper is to find a more reliable recognition algorithm for SSVEP-BCI based on trinary frequency shift keying modulated stimuli. METHODS: First, the signal modulated by trinary frequency shift keying is simulated by MATLAB. At different noise levels, the empirical mode decomposition, singular value decomposition, and synchrosqueezing with the short-time Fourier transform are used to extract the characteristic frequency and reconstruct the signal. Then, the coherent method is used to demodulate the reconstructed signal. Second, in the paradigm of BCI using trinary frequency shift keying modulated stimuli, the three methods mentioned above are used to reconstruct EEG signals, and canonical correlation analysis and coherent demodulation are used to recognize the BCI instructions. RESULTS: For simulated signals, it is found that synchrosqueezing with short-time Fourier transform has a better effect on extracting the characteristic frequencies. For the EEG signal, it is found that the method combining synchrosqueezing with short-time Fourier transform and coherent demodulation has a higher accuracy and information translate rate than other methods. CONCLUSION: The method combining synchrosqueezing with short-time Fourier transform and coherent demodulation proposed in this paper can be applied in the SSVEP system based on trinary frequency shift keying modulated stimuli.


2019 ◽  
Vol 2019 (19) ◽  
pp. 6016-6020 ◽  
Author(s):  
Pasquale Striano ◽  
Christos V. Ilioudis ◽  
Carmine Clemente ◽  
John J. Soraghan

2012 ◽  
Vol 532-533 ◽  
pp. 827-831
Author(s):  
Jiang Hua Xia ◽  
Jing Guo ◽  
Xiao Ming Wang

The Frequency-Shift Keying (FSK) signal is frequently used in track circuits because of the strong ability of resistance interference. Symbol rate is one of the important signal parameters for safety of railway. The paper propose a algorithm of high precise detectation of FSK signal using Chirp-Z transform; Theoretically gives the detailed explanation to the major technique, and has carried on the Matlab simulation, The simulation result indicates this method during the enhancement is shifted signal examination precision, reduced the computation order of complexity.


1982 ◽  
Vol 30 (5) ◽  
pp. 1048-1051 ◽  
Author(s):  
R. LaRosa ◽  
T. Marynowski ◽  
K. Henrich

Sensors ◽  
2015 ◽  
Vol 15 (8) ◽  
pp. 18641-18665 ◽  
Author(s):  
Laurent Segers ◽  
David Van Bavegem ◽  
Sam De Winne ◽  
An Braeken ◽  
Abdellah Touhafi ◽  
...  

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