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On the exact recovery condition of simultaneous orthogonal matching pursuit
Several exact recovery criteria (ERC) ensuring that orthogonal matching pursuit (OMP)
identifies the correct support of sparse signals have been developed in the last few years …
identifies the correct support of sparse signals have been developed in the last few years …
Sparse off-grid DOA estimation method with unknown mutual coupling effect
In the array systems, the mutual coupling effect between antennas degrades the estimation
performance of direction of arrival (DOA) significantly. In this paper, the DOA estimation …
performance of direction of arrival (DOA) significantly. In this paper, the DOA estimation …
Learning dynamical systems and bifurcation via group sparsity
Learning governing equations from a family of data sets which share the same physical laws
but differ in bifurcation parameters is challenging. This is due, in part, to the wide range of …
but differ in bifurcation parameters is challenging. This is due, in part, to the wide range of …
Earthquake detection in 1D time‐series data with feature selection and dictionary learning
Earthquakes can be detected by matching spatial patterns or phase properties from 1D
seismic waves. Current earthquake detection methods such as waveform correlation and …
seismic waves. Current earthquake detection methods such as waveform correlation and …
Robust recovery of joint sparse signals via simultaneous orthogonal matching pursuit
Y Zhang, J Wang - ICASSP 2024-2024 IEEE International …, 2024 - ieeexplore.ieee.org
Simultaneous orthogonal matching pursuit (SOMP) is a classical algorithm for solving
multiple measurement vectors (MMV) problems. In this paper, we analyze the theoretical …
multiple measurement vectors (MMV) problems. In this paper, we analyze the theoretical …
A fast and noise-robust algorithm for joint sparse recovery through information transfer
NY Yu - IEEE Access, 2019 - ieeexplore.ieee.org
In multiple measurement vector (MMV) problems, L measurement vectors each of which has
length M are available for recovering jointly sparse signals that have a common support set …
length M are available for recovering jointly sparse signals that have a common support set …
A novel greedy algorithm for joint sparse recovery through information transfer
NY Yu - 2018 IEEE Global Conference on Signal and …, 2018 - ieeexplore.ieee.org
In multiple measurement vectors (MMV) problems, L measurement vectors of length M are
available for recovering jointly sparse signals that have a common support set of size K. This …
available for recovering jointly sparse signals that have a common support set of size K. This …
[PDF][PDF] Compressed Sensing Algorithms for Direction of Arrival Estimation with Non-Uniform Linear Arrays
WS Leite - 2020 - delamare.cetuc.puc-rio.br
2020. 89p. Dissertação de Mestrado–Departmento de Engenharia Elétrica, Pontifícia
Universidade Católica do Rio de Janeiro. The Direction of Arrival (DoA) estimation or …
Universidade Católica do Rio de Janeiro. The Direction of Arrival (DoA) estimation or …
[PDF][PDF] DESIGN OF SOC FRONT END FOR SENSOR INTERFACE “Implementation of Compressive Sensing on ECG signals Processing SoC's”
HY Al-Maharmeh - 2017 - khazna.ku.ac.ae
DESIGN OF SOC FRONT END FOR SENSOR INTERFACE “Implementation of Compressive
Sensing on ECG signals Processing SoC’s” Hamza Page 1 I DESIGN OF SOC FRONT END …
Sensing on ECG signals Processing SoC’s” Hamza Page 1 I DESIGN OF SOC FRONT END …