Results 61 to 70 of about 337,735 (278)
Frequency-broadening method of seismic data based on sparse reconstruction inversion strategy
Frontiers in Earth ScienceTo broaden the effective frequency bandwidth of seismic data and enhance its resolution, we investigate the high-resolution reconstruction method grounded in compressed sensing sparse theory, utilizing the characteristics of sparse decomposition of ...
Shiyou Liu +4 more
doaj +1 more source
An ADS-Based Sparse Optimization Method for Sonar Imaging Sensor Arrays
Applied Sciences, 2020 The Mills Cross sonar sensor array, achieved by the virtual element technology, is one way to build a low-complexity and low-cost imaging system while not decreasing the imaging quality.
Jiancheng Liu +3 more
doaj +1 more source
ECG Baseline Estimation and Denoising With Group Sparse Regularization
IEEE Access, 2021 Baseline wander (BW) and electrocardiogram (ECG) noise reduction play an important role in ECG data analysis and disease diagnosis. This article introduces a sparse optimization method, which takes into account the group sparse characteristics of the ...
Hao Shi +4 more
doaj +1 more source
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory
, 2017 The pathwise coordinate optimization is one of the most important computational frameworks for high dimensional convex and nonconvex sparse learning problems.
Liu, Han, Zhang, Tong, Zhao, Tuo
core +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Sparse recovery by non-convex optimization – instance optimality
Applied and Computational Harmonic Analysis, 2010 In this note, we address the theoretical properties of $ _p$, a class of compressed sensing decoders that rely on $\ell^p$ minimization with ...
Saab, Rayan, Yılmaz, Özgür
openaire +2 more sources
Optimizing sparse fermionic Hamiltonians
Quantum, 2023 We consider the problem of approximating the ground state energy of a fermionic Hamiltonian using a Gaussian state. In sharp contrast to the dense case [1, 2], we prove that strictly q-local sparse fermionic Hamiltonians have a constant Gaussian approximation ratio; the result holds for any connectivity and interaction strengths.
Herasymenko, Y.R. (author) +3 more
openaire +5 more sources
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
On a class of optimization-based robust estimators
, 2017 We consider in this paper the problem of estimating a parameter matrix from observations which are affected by two types of noise components: (i) a sparse noise sequence which, whenever nonzero can have arbitrarily large amplitude (ii) and a dense and ...
Bako, Laurent
core +3 more sources
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source