Consider two p-variate populations, not necessarily Gaussian, with covariance matrices Σ₁ and Σ₂, respectively. Let S₁ and S₂ be the corresponding sample covariance matrices with degrees of freedom m ...

Abstract: This article proposes a novel seizure detection algorithm based on multidimensional covariance matrix and hybrid mutation of binary Harris hawks optimizer. First, raw electroencephalogram ...

Abstract: In this letter we work with truly multitemporal change detection in multilooked, multifrequency polarimetric synthetic aperture radar (polSAR) data in the covariance matrix formulation. We ...

The paper discusses why certain commonly used two-step procedures give estimators which are asymptotically less efficient than the maximum likelihood estimator when there are lagged dependent ...

Ultimate Guide: From Embedded Systems to Autonomous Robotics Introduction: This guide provides a comprehensive roadmap from low-level embedded systems (programming bare-metal hardware) up to ...

LSA-FW is a flexible, modular Python framework for global linear stability analysis of incompressible 2D and 3D flows. It integrates matrix/eigenvalue-based methods, with a strong focus on ...