WebTobia Boschi (IBM Research) FAStEN: an efficient adaptive method for feature selection and estimation in high-dimensional functional regressions; Marco Riani (University of Parma) Robust and efficient regression analysis with applications; Mia Hubert (KU Leuven) Outlier detection in non-elliptical data by kernel MRCD WebJul 1, 2024 · Synchrosqueezing transform (SST), which is an EMD like approach, is proposed as a time-frequency analysis technique [20]. SST is a blend of wavelet decomposition and …
N. Shara Sowmya - Articles - Scientific Research Publishing
WebConclusion: The method combining synchrosqueezing with short-time Fourier transform and coherent demodulation proposed in this paper can be applied in the SSVEP system based … WebTomasz (Tomek) M Rutkowski is a researcher and educator born in Poland. He lives in Japan since 1998 and focuses his professional activity on computational neuroscience (neurotechnology), multi-sensory (multimedia) applications, artificial intelligence, and intelligence augmentation. He developed an award-winning tactile (haptic) brain-computer … erica heart
Feature Extraction Using Parameterized ... - IEEE Xplore
WebJun 1, 2015 · The results show that the proposed method could provide much higher frequency resolution, better TF concentration results, and more accurate IF estimation of … WebThe instantaneous frequency (IF) extraction of seismic data has been widely applied to seismic exploration for decades, such as detecting seismic absorption and characterizing depositional thicknesse WebJul 9, 2024 · In this paper, we present the synchrosqueezing transform together with the CWT and illustrate their relative performances using four signals from different fields, namely the LIGO signal showing gravitational waves, a ‘FanQuake’ signal displaying observed vibrations during an American football game, a seismic recording of the M w 8.2 Chiapas … find my handy android