scholarly journals Maximum Signal Fraction Analysis for Enhancing Signal-to-Noise Ratio of EEG Signals in SSVEP-Based BCIs

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 85452-85461 ◽  
Author(s):  
Qingguo Wei ◽  
Shan Zhu ◽  
Yijun Wang ◽  
Xiaorong Gao ◽  
Hai Guo ◽  
...  
2020 ◽  
Vol 2020 (7) ◽  
pp. 143-1-143-6 ◽  
Author(s):  
Yasuyuki Fujihara ◽  
Maasa Murata ◽  
Shota Nakayama ◽  
Rihito Kuroda ◽  
Shigetoshi Sugawa

This paper presents a prototype linear response single exposure CMOS image sensor with two-stage lateral overflow integration trench capacitors (LOFITreCs) exhibiting over 120dB dynamic range with 11.4Me- full well capacity (FWC) and maximum signal-to-noise ratio (SNR) of 70dB. The measured SNR at all switching points were over 35dB thanks to the proposed two-stage LOFITreCs.


2011 ◽  
Vol 36 (18) ◽  
pp. 3690 ◽  
Author(s):  
Ranveer S. Matharu ◽  
Julien Perchoux ◽  
Russell Kliese ◽  
Yah Leng Lim ◽  
Aleksandar D. Rakić

Author(s):  
Douglass J. Wilde

Abstract Maximizing signal-to-noise ratio generates off-center designs that can be far from robust. To demonstrate this in engineering terms, a counterexample is constructed by relaxing a physically unnecessary constraint in Taguchi’s robust circuit design illustration. In this new case the badly off-center design obtained by maximizing signal-to-noise ratio is not even as robust as the worst of the centered designs. This did not occur in the original example because the artificial constraint, relaxed in the counterexample, fortuitously held the maximum signal-to-noise ratio design near the robust least variation design.


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