Magnitude Squared of Coherence to Detect Imaginary Movement

Magnitude Squared of Coherence to Detect Imaginary Movement

1Biomedical Engineering Studies and Research Group (NEPEB), Department of Electrical Engineering, Federal University of Minas Gerais (UFMG), Av. Antônio Carlos 6627, 31270-010 Belo Horizonte, MG, Brazil 2Department of Arts and Social Sciences, Federal University of Minas Gerais (UFMG), Av. Antônio Carlos 6627, 31270-010 Belo Horizonte, MG, Brazil 3Department of Neurology, Federal University of ...

SCA with Magnitude Squared Coherence

Magnitude Squared Coherence (MSC) is a signal processing tool that indicates how well two time domain signals match one with the other by tracking linear dependencies in their spectral decomposition. Spectral Coherence ANalysis (SCAN) was the first way to use it as a Side-Channel Attack (SCA). This paper introduces two ways of using the Magnitude Squared Coherence in side-channel analyses. The ...

Magnitude Squared Coherence based SCA

Magnitude Squared Coherence is a signal processing tool that indicates how well two time domain signals match one with the other by tracking linear dependencies in their spectral decomposition. This paper introduces different ways of using the Magnitude Squared Coherence for Side Channel Analysis. This distinguisher has several advantages over well-known distinguishers.

Invariance of the magnitude-squared coherence estimate with respect to second-channel statistics

Modeling Movement and Imaginary Movement EEG by means of Hidden Markov Models and Coherence

This work investigates the discrete Hidden Markov Model (HMM) for modeling spontaneous electroencephalogram (EEG) events of actual movement and imaginary movement by means of Magnitude Squared Coherence (MSC). The EEG was recording from 20 scalp electrodes, placed according to International 10-20 System. The models, resulting for three normal subjects, were build with electrodes from central (C...