Results 91 to 100 of about 277,175 (273)

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

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

open access: yesAdvanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong   +7 more
wiley   +1 more source

Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception

open access: yesAdvanced Functional Materials, EarlyView.
A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo   +11 more
wiley   +1 more source

Optoelectronic Control of Redox Dynamics in POM Memristors for Noise‐Resilient Speech and Hardware‐Level Motion Recognition

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma   +13 more
wiley   +1 more source

Efficient Sparse Recovery and Demixing Using Nonconvex Regularization

open access: yesIEEE Access, 2019
Sparse demixing aims to separate signals that are sparse in some general dictionary, which has wide applications in signal and image processing, such as in super-resolution, image inpainting, robust sparse recovery, source separation, interference ...
Junhui Mei, Juntong Xi
doaj   +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

Bioactive Conductive Ti3C2Tx‐Ce Hydrogel Facilitates Spinal Cord Injury Repair Through ROS Scavenging and Mitochondrial Regulation

open access: yesAdvanced Functional Materials, EarlyView.
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

An Efficient Sparse Recovery STAP Algorithm for Airborne Bistatic Radars Based on Atomic Selection under the Bayesian Framework

open access: yesRemote Sensing
The traditional sparse recovery (SR) space-time adaptive processing (STAP) algorithms are greatly affected by grid mismatch, leading to poor performance in airborne bistatic radar clutter suppression.
Kun Liu, Tong Wang, Weijun Huang
doaj   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

open access: yesAdvanced Functional Materials, EarlyView.
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

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