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 …
Review on vibration-based structural health monitoring techniques and technical codes
Y Yang, Y Zhang, X Tan - Symmetry, 2021 - mdpi.com
Structural damages occur in modern structures during operations due to environmental and
human factors. The damages accumulating with time may lead to a significant decrease in …
human factors. The damages accumulating with time may lead to a significant decrease in …
Sparse synthetic aperture radar imaging from compressed sensing and machine learning: Theories, applications, and trends
Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …
Sparse Bayesian learning for end-to-end EEG decoding
Decoding brain activity from non-invasive electroencephalography (EEG) is crucial for brain-
computer interfaces (BCIs) and the study of brain disorders. Notably, end-to-end EEG …
computer interfaces (BCIs) and the study of brain disorders. Notably, end-to-end EEG …
Temporally constrained sparse group spatial patterns for motor imagery BCI
Common spatial pattern (CSP)-based spatial filtering has been most popularly applied to
electroencephalogram (EEG) feature extraction for motor imagery (MI) classification in brain …
electroencephalogram (EEG) feature extraction for motor imagery (MI) classification in brain …
Multibeam for joint communication and radar sensing using steerable analog antenna arrays
Beamforming has a great potential for joint communication and radar sensing (JCAS), which
is becoming a demanding feature on many emerging platforms, such as unmanned aerial …
is becoming a demanding feature on many emerging platforms, such as unmanned aerial …
Joint multi-user communication and sensing exploiting both signal and environment sparsity
As a potential technology feature for 6G wireless networks, the idea of sensing-
communication integration requires the system not only to complete reliable multi-user …
communication integration requires the system not only to complete reliable multi-user …
Compressed sensing for wireless communications: Useful tips and tricks
As a paradigm to recover the sparse signal from a small set of linear measurements,
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …
Off-grid direction of arrival estimation using sparse Bayesian inference
Direction of arrival (DOA) estimation is a classical problem in signal processing with many
practical applications. Its research has recently been advanced owing to the development of …
practical applications. Its research has recently been advanced owing to the development of …
Photoplethysmography-based heart rate monitoring in physical activities via joint sparse spectrum reconstruction
Z Zhang - IEEE transactions on biomedical engineering, 2015 - ieeexplore.ieee.org
Goal: A new method for heart rate monitoring using photoplethysmography (PPG) during
physical activities is proposed. Methods: It jointly estimates the spectra of PPG signals and …
physical activities is proposed. Methods: It jointly estimates the spectra of PPG signals and …