Results 91 to 100 of about 279,028 (324)

A Unified Feasible SQP Framework for sparse and non-negative sparse recovery

open access: yesEURASIP Journal on Advances in Signal Processing
Sparse signal recovery is a central problem in many areas, including medical imaging, remote sensing, machine learning, and data science. In many practical settings, the underlying signal is inherently non-negative, due to the physical nature of the ...
Mohammad Saeid Alamdari, Masoud Fatemi
doaj   +1 more source

Nonuniform Sparse Recovery with Subgaussian Matrices

open access: yesElectronic Transactions on Numerical Analysis, 2010
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as $\ell_1$-minimization find the sparsest solution to certain systems of equations. Random matrices have become a popular choice for the measurement matrix.
Ulas Ayaz, Holger Rauhut
openaire   +3 more sources

From Mechanics to Electronics: Influence of ALD Interlayers on the Multiaxial Electro‐Mechanical Behavior of Metal–Oxide Bilayers

open access: yesAdvanced Functional Materials, EarlyView.
Ultrathin AlOxHy interlayers between aluminum films and polymer substrates significantly improve electro‐mechanical properties of flexible thin film systems. By precisely controlling interlayer thickness using atomic layer deposition, this study identifies an optimal interlayer thickness of 5–10 nm that enhances ductility and delays cracking.
Johanna Byloff   +9 more
wiley   +1 more source

Imaging of Biphoton States: Fundamentals and Applications

open access: yesAdvanced Functional Materials, EarlyView.
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley   +1 more source

Mapping Nanoscale Buckling in Atomically Thin Cr2Ge2Te6

open access: yesAdvanced Functional Materials, EarlyView.
Atomic‐resolution STEM is used to resolve nanoscale buckling in monolayer Cr2Ge2Te₆. A noise‐robust image analysis reconstructs three‐dimensional lattice distortions from single plan‐view images, revealing pronounced defect‐driven nm‐scale out‐of‐plane buckling.
Amy Carl   +20 more
wiley   +1 more source

Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels

open access: yesAdvanced Functional Materials, EarlyView.
This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim   +8 more
wiley   +1 more source

Sparse ECG Denoising with Generalized Minimax Concave Penalty

open access: yesSensors, 2019
The electrocardiogram (ECG) is an important diagnostic tool for cardiovascular diseases. However, ECG signals are susceptible to noise, which may degenerate waveform and cause misdiagnosis.
Zhongyi Jin   +3 more
doaj   +1 more source

Dual‐Layer Living Hydrogel Enables On‐Demand Delivery of Phages and Probiotics for Synergistic Wound Infection Therapy

open access: yesAdvanced Functional Materials, EarlyView.
A dual‐layer living hydrogel, ProΦGel, integrates bacteriophages and probiotics for synergistic wound infection therapy. The outer gelatin‐based matrix releases phages on demand in response to P. aeruginosa infections, while inner alginate beads sustain probiotic delivery.
Siyuan Tao   +6 more
wiley   +1 more source

Sparse matrices for weighted sparse recovery

open access: yes, 2016
We derived the first sparse recovery guarantees for weighted $\ell_1$ minimization with sparse random matrices and the class of weighted sparse signals, using a weighted versions of the null space property to derive these guarantees. These sparse matrices from expender graphs can be applied very fast and have other better computational complexities ...
openaire   +2 more sources

Coding-theoretic methods for sparse recovery [PDF]

open access: yes2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2011
We review connections between coding-theoretic objects and sparse learning problems. In particular, we show how seemingly different combinatorial objects such as error-correcting codes, combinatorial designs, spherical codes, compressed sensing matrices and group testing designs can be obtained from one another.
openaire   +3 more sources

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