Bias in magnitude-squared coherence estimation due to misalignment

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.

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 ...

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

Phase-Based Adaptive Estimation of Magnitude-Squared Coherence Between Turbofan Internal Sensors and Far-Field Microphone Signals

A cross-power spectrum phase based adaptive technique is discussed which iteratively determines the time delay between two digitized signals that are coherent. The adaptive delay algorithm belongs to a class of algorithms that identifies a minimum of a pattern matching function. The algorithm uses a gradient technique to find the value of the adaptive delay that minimizes a cost function based ...