Adaptive Detection of Normal Mixture Signals with Pre-Estimated Gaussian Mixture Noise
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1134/S1054661819030076.pdf
Reference24 articles.
1. A. K. Gorshenin, V. Yu. Korolev, A. Yu. Korchagin, T. V. Zakharova, and A. I. Zeifman, “Statistical detection of movement activities in a human brain by separation of mixture distributions,” J. Math. Sci. 218 (3), 278–286 (2016).
2. C. M. Giabbiconi, C. Dancer, R. Zopf, T. Gruber, and M. M. Müller, “Selective spatial attention to left or right hand flutter sensation modulates the steady-state somatosensory evoked potential,” Cognit. Brain Res. 20 (1), 58–66 (2004).
3. O. Friman, I. Volosyak, and A. Graser, “Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces,” IEEE Trans. Biomed. Eng. 54 (4), 742–750 (2007).
4. C. Breitwieser, V. Kaiser, C. Neuper, and G. R. Müller-Putz, “Stability and distribution of steady-state somatosensory evoked potentials elicited by vibro-tactile stimulation,” Med. Biol. Eng. Comput. 50 (4), 347–357 (2012).
5. G. M. Batanov, M. S. Berezhetskii, V. D. Borzosekov, et al., “Reaction of turbulence at the edge and in the center of the plasma column to pulsed impurity injection caused by the sputtering of the wall coating in L‑2M stellarator,” Plasma Phys. Rep. 43 (8), 818–823 (2017).
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1. Efficiency of the Method for Detecting Normal Mixture Signals with Pre-Estimated Gaussian Mixture Noise;Pattern Recognition and Image Analysis;2020-07
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