Abstract: In this paper, we propose a fast sparse Nonnegative Matrix Factorization algorithm incorporating manifold identification techniques. Within an alternating update framework, it adaptively ...

Abstract: High-resolution millimeter-wave (mmWave) 3-D Synthetic Aperture Radar (SAR) imaging typically requires dense spatial sampling over large arrays or structured scanning trajectories. This ...

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Large sparse linear systems arise in diverse fields such as structural engineering, fluid dynamics, network analysis and machine learning. Direct factorisation techniques often become impractical for ...

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% This cross-correlation based algorithm is proposed by Wicker et al. % "Phase optimisation for structured illumination microscopy," Opt. Express 21, 2032-2049 (2013 ...

ABSTRACT: The proximal gradient method (PGD) is an important approach for solving composite optimization problems consisting of the sum of a smooth function and a nonsmooth function. Classical ...

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