An approximation to the cumulative distribution function of the magnitude-squared coherence estimate

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

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.

Efficient Estimation of the Density and Cumulative Distribution Function of the Generalized Rayleigh Distribution

The uniformly minimum variance unbiased (UMVU), maximum likelihood, percentile (PC), least squares (LS) and weighted least squares (WLS) estimators of the probability density function (pdf) and cumulative distribution function are derived for the generalized Rayleigh distribution. This model can be used quite effectively in modelling strength data and also modeling general lifetime data. It has...

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 ...