Results 41 to 50 of about 1,231,296 (158)
Neural 3D reconstruction from sparse views using geometric priors
, 2023 Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D representation. Existing methods usually only make use of 2D views, requiring a dense set of input views for accurate 3D reconstruction.
Hao-Xiang Chen +3 more
core +1 more source
Off-grid sparse SAR image reconstruction by EMMP algorithm [PDF]
, 2013 Date of Conference: 29 April-3 May 2013A new and robust sparse SAR image reconstruction technique is proposed for off-grid targets in the CS framework. In the proposed approach, basis vectors corresponding to on-grid point reflectors are perturbed on a ...
Arıkan, Orhan +5 more
core +1 more source
Sparse signal reconstruction by swarm intelligence algorithms
, 2021 This study introduces a new technique for sparse signal reconstruction. In general, there are two classes of algorithms in the recovery of sparse signals: greedy approaches and l(1)-minimization methods.
KARABOĞA, NURHAN +3 more
core +1 more source
Parametric dictionary design for sparse coding [PDF]
, 2009 —This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions, e.g. [1], [2].
Yaghoobi, M. +5 more
core
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
Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method. [PDF]
Sensors (Basel), 2023 Xiao Y, Yuan L, Wang J, Hu W, Sun R.
europepmc +1 more source
SPARSE IMAGE RECONSTRUCTION USING SPARSE PRIORS
, 2008 Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrupted by additive white Gaussian noise.
Raviv Raich +2 more
core
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
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
Greedy sparse signal reconstruction from sign measurements
, 2009 a new greedy algorithm to perform sparse signal reconstruction from signs of signal measurements, i.e., measurements quantized to 1-bit. The algorithm combines the principle of consistent reconstruction with greedy sparse reconstruction.
Petros T. Boufounos
core +1 more source