154 citations · 1.1k across the 115 of their papers we have counts for
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Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition
Maboud F. Kaloorazi, Kai Liu, Jie Chen +2
The pivoted QLP decomposition is computed through two consecutive pivoted QR decompositions, and provides an approximation to the singular value decomposition. This work is concern…
Randomized Rank-Revealing UZV Decomposition for Low-Rank Approximation of Matrices
Maboud F. Kaloorazi, Rodrigo C. de Lamare
Low-rank matrix approximation plays an increasingly important role in signal and image processing applications. This paper presents a new rank-revealing decomposition method called…
Compressed Randomized UTV Decompositions for Low-Rank Approximations and Big Data Applications
M. Kaloorazi, R. C. de Lamare
Low-rank matrix approximations play a fundamental role in numerical linear algebra and signal processing applications. This paper introduces a novel rank-revealing matrix decomposi…
Subspace-Orbit Randomized Decomposition for Low-rank Matrix Approximation
Maboud F. Kaloorazi, Rodrigo C. de Lamare
An efficient, accurate and reliable approximation of a matrix by one of lower rank is a fundamental task in numerical linear algebra and signal processing applications. In this pap…
Report on Two-Step Knowledge-Aided Iterative ESPRIT Algorithm
R. C. de Lamare
In this work, we propose a subspace-based algorithm for direction-of-arrival (DOA) estimation, referred to as two-step knowledge-aided iterative estimation of signal parameters via…