A Fast Sparse Recovery Algorithm for Compressed Sensing Using Approximate l₀ Norm and Modified Newton Method. [PDF]
Materials (Basel), 2019 Jin D, Yang Y, Ge T, Wu D.
europepmc +1 more source
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Advanced Science, EarlyView.Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Proposal of a Geometric Calibration Method Using Sparse Recovery to Remove Linear Array Push-Broom Sensor Bias. [PDF]
Sensors (Basel), 2019 Chen J, Sha Z, Yang J, An W.
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Sparse recovery of undersampled intensity patterns for coherent diffraction imaging at high X-ray energies. [PDF]
Sci Rep, 2018 Maddali S +7 more
europepmc +1 more source
Global Nitrogen Deposition Promotes Carbon Sink Formation in Terrestrial Ecosystems
Advanced Science, EarlyView.Nitrogen deposition alleviates ecosystem N limitation and enhances carbon sinks. Using 829 observations, we show 36% of deposited N is retained globally (39.15 Tg N yr−1), with distinct NHx and NOy contributions. This retention drives a terrestrial C sink of 0.88 Pg C yr−1 (25.48%), highlighting the importance of pool‐specific C:N stoichiometry ...
Lei Li +6 more
wiley +1 more source
Pruning-Based Sparse Recovery for Electrocardiogram Reconstruction from Compressed Measurements. [PDF]
Sensors (Basel), 2017 Lee J, Kim K, Choi JW.
europepmc +1 more source
Multichannel sparse recovery of complex-valued signals using Huber's criterion [PDF]
, 2015 Esa Ollila
openalex +1 more source
Range‐ambiguity suppression for noise radar in cluttered environment via sparse recovery
, 2021 Xingyu Lu +4 more
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Learnable Diffusion Framework for Mouse V1 Neural Decoding
Advanced Science, EarlyView.We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source