Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …
decades. Although several reviews have been presented, some new developments have …
Integrated sensing and communications: Recent advances and ten open challenges
It is anticipated that integrated sensing and communications (ISACs) would be one of the
key enablers of next-generation wireless networks (such as beyond 5G (B5G) and 6G) for …
key enablers of next-generation wireless networks (such as beyond 5G (B5G) and 6G) for …
Structured Nyquist correlation reconstruction for DOA estimation with sparse arrays
Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for
direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated …
direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated …
Ziv-Zakai bound for DOAs estimation
Lower bounds on the mean square error (MSE) play an important role in evaluating the
direction-of-arrival (DOA) estimation performance. Among numerous bounds for DOA …
direction-of-arrival (DOA) estimation performance. Among numerous bounds for DOA …
Direction-of-arrival estimation based on deep neural networks with robustness to array imperfections
Lacking of adaptation to various array imperfections is an open problem for most high-
precision direction-of-arrival (DOA) estimation methods. Machine learning-based methods …
precision direction-of-arrival (DOA) estimation methods. Machine learning-based methods …
Dynamic mode decomposition: Theory and applications
JH Tu - 2013 - search.proquest.com
Used to analyze the time-evolution of fluid flows, dynamic mode decomposition (DMD) has
quickly gained traction in the fluids community. However, the existing DMD literature focuses …
quickly gained traction in the fluids community. However, the existing DMD literature focuses …
A review of sparse recovery algorithms
EC Marques, N Maciel, L Naviner, H Cai, J Yang - IEEE access, 2018 - ieeexplore.ieee.org
Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …
high-power processing, large memory density, and increased energy consumption. In …
A robust and efficient algorithm for coprime array adaptive beamforming
Coprime array offers a larger array aperture than uniform linear array with the same number
of physical sensors, and has a better spatial resolution with increased degrees of freedom …
of physical sensors, and has a better spatial resolution with increased degrees of freedom …
Direct localization for massive MIMO
Large-scale MIMO systems are well known for their advantages in communications, but they
also have the potential for providing very accurate localization, thanks to their high angular …
also have the potential for providing very accurate localization, thanks to their high angular …
Compressed sensing off the grid
This paper investigates the problem of estimating the frequency components of a mixture of
s complex sinusoids from a random subset of n regularly spaced samples. Unlike previous …
s complex sinusoids from a random subset of n regularly spaced samples. Unlike previous …