Sparse sub-gaussian random projections for semidefinite programming relaxations
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Global Optimization"
DOI: 10.1007/s10898-025-01559-5
Abstract: Random projection, a dimensionality reduction technique, has been found useful in recent years for reducing the size of optimization problems. In this paper, we explore the use of sparse sub-gaussian random projections to approximate semidefinite… read more here.
Keywords: gaussian random; semidefinite programming; sub gaussian; random projections ... See more keywords
Estimating the Number of Sinusoids in Additive Sub-Gaussian Noise With Finite Measurements
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3006374
Abstract: This paper considers the problem of estimating the number of sinusoidal signals in additive sub-Gaussian noise. We develop a novel non-asymptotic analysis of the eigenvalues of a Hermitian Toeplitz data matrix with finite noisy measurements.… read more here.
Keywords: estimating number; noise; sub gaussian; additive sub ... See more keywords
Optimal Beamforming Design for Underwater Acoustic Communication With Multiple Unsteady Sub-Gaussian Interferers
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2945007
Abstract: Traditional beamforming (BF) methods can be used to suppress the Gaussian interferers in underwater acoustic communication systems. However, multiple unsteady sub-Gaussian interferers may exist that degrade the performance of BF. In this paper, a new… read more here.
Keywords: gaussian interferers; acoustic communication; sub gaussian; underwater acoustic ... See more keywords