High-Precision DOA Estimation Based on Synthetic Aperture and Sparse Reconstruction. [PDF]
Sensors (Basel), 2023 Fang Y, Wei X, Ma J.
europepmc +1 more source
Reconstruction of LDPC code sparse check matrix based on modified LBP decoding
Tongxin xuebaoIn order to reconstruct the sparse check matrix of LDPC code, a sparse check matrix reconstruction algorithm for LDPC code at high BER was proposed based on modified LBP decoding.
ZHANG Tianqi +3 more
doaj +2 more sources
Pruning-Based Sparse Recovery for Electrocardiogram Reconstruction from Compressed Measurements
Sensors, 2017 Due to the necessity of the low-power implementation of newly-developed electrocardiogram (ECG) sensors, exact ECG data reconstruction from the compressed measurements has received much attention in recent years.
Jaeseok Lee, Kyungsoo Kim, Ji-Woong Choi
doaj +1 more source
RAD-UNet: a Residual, Attention-Based, Dense UNet for CT Sparse Reconstruction. [PDF]
J Digit Imaging, 2022 Qiao Z, Du C.
europepmc +1 more source
Fast Image Super-resolution with Sparse Coding
MATEC Web of Conferences, 2016 In this paper, we introduce a novel fast image reconstruction method for super-resolution (SR) base on sparse coding. This method combine online dictionary learning and a fast sparse coding way, both of which can improve the efficiency of the ...
Yuan Zhi-chao, Li Ben-tu
doaj +1 more source
Adaptive sparse reconstruction for lensless digital holography via PSF estimation and phase retrieval. [PDF]
Opt Express, 2022 Pacheco C +5 more
europepmc +1 more source
A Novel Block Sparse Reconstruction Method for DOA Estimation With Unknown Mutual Coupling
IEEE Communications Letters, 2019 In this letter, we consider the direction-of-arrival (DOA) estimation in the presence of unknown mutual coupling in application to uniform linear arrays (ULAs).
Xiaowei Zhang +3 more
semanticscholar +1 more source
Tensor-Based Sparse Representation for Hyperspectral Image Reconstruction Using RGB Inputs
MathematicsHyperspectral image (HSI) reconstruction from RGB input has drawn much attention recently and plays a crucial role in further vision tasks. However, current sparse coding algorithms often take each single pixel as the basic processing unit during the ...
Yingtao Duan +3 more
doaj +1 more source
Effect Evaluation of Dexmedetomidine Intravenous Anesthesia on Postoperative Agitation in Patients with Craniocerebral Injury by Magnetic Resonance Imaging Based on Sparse Reconstruction Algorithm. [PDF]
Contrast Media Mol Imaging, 2022 Feng X, Feng X, Zhao B, Wang Y.
europepmc +1 more source
L0 constrained sparse reconstruction for multi-slice helical CT reconstruction
Physics in Medicine and Biology, 2011 In this paper, we present a Bayesian maximum a posteriori method for multi-slice helical CT reconstruction based on an L0-norm prior. It makes use of a very low number of projections. A set of surrogate potential functions is used to successively approximate the L0-norm function while generating the prior and to accelerate the convergence speed ...
Hu, Yining +4 more
openaire +4 more sources