Results 271 to 280 of about 70,734 (340)
High-Dimensional Sparse Surrogate Construction via Bayesian Compressive Sensing.
, 2015 Khachik Sargsyan +5 more
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IEEE Transactions on Signal Processing, 2008
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be reconstructed accurately using only a small number M Lt N of basis-function coefficients associated with B.
Shihao Ji, Ya Xue, L. Carin
semanticscholar +4 more sources
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be reconstructed accurately using only a small number M Lt N of basis-function coefficients associated with B.
Shihao Ji, Ya Xue, L. Carin
semanticscholar +4 more sources
Bayesian Compressive Sensing Using Laplace Priors
IEEE Transactions on Image Processing, 2010In this paper, we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for the signal and noise using the Bayesian framework. We utilize a hierarchical form of the Laplace prior to model the sparsity of the unknown signal.
S. D. Babacan, R. Molina, A. Katsaggelos
semanticscholar +5 more sources
Mechanical Systems and Signal Processing, 2021
Spatial variation occurs widely in engineering practice and could be quantified by random fields. For instance, the strength of concrete in a large-sized shear wall might be described by a two-dimensional random field in the framework of probability ...
Jingran He +3 more
semanticscholar +3 more sources
Spatial variation occurs widely in engineering practice and could be quantified by random fields. For instance, the strength of concrete in a large-sized shear wall might be described by a two-dimensional random field in the framework of probability ...
Jingran He +3 more
semanticscholar +3 more sources
Directions-of-Arrival Estimation Through Bayesian Compressive Sensing Strategies
IEEE Transactions on Antennas and Propagation, 2013The estimation of the directions of arrival (DoAs) of narrow-band signals impinging on a linear antenna array is addressed within the Bayesian compressive sensing (BCS) framework. Unlike several state-of-the-art approaches, the voltages at the output of the receiving sensors are directly used to determine the DoAs of the signals thus avoiding the ...
Carlin, Matteo +4 more
openaire +5 more sources
Canadian geotechnical journal (Print), 2023
Because cone penetration test (CPT) is reasonably rapid, affordable and repeatable, it has been widely used in-situ for subsurface soil stratification and classification in geological and geotechnical engineering practice.
Tengyuan Zhao +3 more
semanticscholar +1 more source
Because cone penetration test (CPT) is reasonably rapid, affordable and repeatable, it has been widely used in-situ for subsurface soil stratification and classification in geological and geotechnical engineering practice.
Tengyuan Zhao +3 more
semanticscholar +1 more source
IEEE Transactions on Aerospace and Electronic Systems, 2023
This article intends to address the long-time coherent integration of high maneuvering targets in low signal-to-noise environments with high computational efficiency and accuracy.
Lei Yu +4 more
semanticscholar +1 more source
This article intends to address the long-time coherent integration of high maneuvering targets in low signal-to-noise environments with high computational efficiency and accuracy.
Lei Yu +4 more
semanticscholar +1 more source
IEEE Transactions on Antennas and Propagation, 2023
This article presents a deterministic hybrid algorithm combining the merits of Bayesian compressive sensing (BCS) and array dilation technique (ADT) for the synthesis of aperiodic and isophoric (equally fed) linear sparse array antennas (LSAAs).
A. Kedar, Pratap Vangol, A. Mahesh
semanticscholar +1 more source
This article presents a deterministic hybrid algorithm combining the merits of Bayesian compressive sensing (BCS) and array dilation technique (ADT) for the synthesis of aperiodic and isophoric (equally fed) linear sparse array antennas (LSAAs).
A. Kedar, Pratap Vangol, A. Mahesh
semanticscholar +1 more source