Results 111 to 120 of about 279,028 (324)
Sparse Vector Distributions and Recovery from Compressed Sensing
It is well known that the performance of sparse vector recovery algorithms from compressive measurements can depend on the distribution underlying the non-zero elements of a sparse vector.
Sturm, Bob L.
core
Implicit Regularization for Optimal Sparse Recovery
We investigate implicit regularization schemes for gradient descent methods applied to unpenalized least squares regression to solve the problem of reconstructing a sparse signal from an underdetermined system of linear measurements under the restricted isometry assumption. For a given parametrization yielding a non-convex optimization problem, we show
Vaškevičius, T +2 more
openaire +3 more sources
Bioactive conductive Ti3C2Tx‐Ce hydrogels with with scavenging ROS and alleviating neuronal mitochondrial dysfunction are exploited for SCI treatment. This functionality is attributed to interfacial activation modification of Ti3C2Tx with Ce3+ ions to in‐situ form Ce(OH)x‐mediated protective layer, which is beneficial to enabling stable intracellular ...
Weikang Wang +12 more
wiley +1 more source
Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source
Clutter Suppression for Indoor Self-Localization Systems by Iteratively Reweighted Low-Rank Plus Sparse Recovery. [PDF]
Sánchez-Pastor J +6 more
europepmc +1 more source
Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng +16 more
wiley +1 more source
Understanding the Effects of Conductive Polymer Electrode Coating on Recorded Neural Signals
Conductive polymer coatings are widely explored to improve the quality of signals recorded with chronically implanted neural electrodes, offering enhanced biocompatibility along with reduced electrode impedance. Combining computational modelling and data from PEDOT:PTS coated and PtIr electrodes in rats, we show that improvements in signal quality with
Karthik Sridhar +4 more
wiley +1 more source
Sub-array-level digital arrays effectively diminish the computational complexity and sample demand of space-time adaptive processing (STAP), thus finding extensive applications in many airborne platforms.
Youai Wu +5 more
doaj +1 more source
A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations
For the problem of sparse recovery, it is widely accepted that nonconvex minimizations are better than ℓ1 penalty in enhancing the sparsity of solution.
Hoang Tran, Clayton Webster
doaj +1 more source
This study develops a dual‐bioinspired hydrogel, MSA@PGel (macrophage membrane‐coated and salvianolic acid B/5‐aminolevulinic acid co‐loaded liposomes embedded in a polydopamine‐based gel), that integrates macrophage membrane‐mediated active targeting and mussel‐inspired wet adhesion for programmed intervention in oral precancerous lesions.
Xiaoxian Zhao +8 more
wiley +1 more source

