Results 101 to 110 of about 5,109 (308)
Advanced Materials Interfaces, EarlyView.3D conductive frameworks can maintain continuous electron transport, mechanical stability, and interfacial integrity, helping next‐generation batteries operate more efficiently. This Review examines their relevance to Si anodes, all‐solid‐state batteries, and dry‐processed electrodes, and highlights bio‐derived carbons as sustainable, structurally ...
SeoYoung Ha +5 more
wiley +1 more source
Tunable 3D‐Printed Static Mixers for Gradient Bioprinting With High Cell Viability
Advanced Materials Technologies, EarlyView.ABSTRACT The fabrication of native tissue‐like structures with gradual transitions in material properties, cell types, and growth factors remains a major challenge in biofabrication due to the lack of suitable methods. Mimicking the hierarchical organization of living tissues is essential for functional models, yet creating gradient, multimaterial ...
Florian Hofmann +9 more
wiley +1 more source
Compressed Measurements Based Spectrum Sensing for Wideband Cognitive Radio Systems
International Journal of Antennas and Propagation, 2015 Spectrum sensing is the most important component in the cognitive radio (CR) technology. Spectrum sensing has considerable technical challenges, especially in wideband systems where higher sampling rates are required which increases the complexity and ...
Taha A. Khalaf +2 more
doaj +1 more source
Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement
Algorithms, 2013 This paper designs and evaluates a variant of CoSaMP algorithm, for recovering the sparse signal s from the compressive measurement given a fixed low-rank subspace spanned by U.
Jun He, Ming-Wei Gao, Lei Zhang, Hao Wu
doaj +1 more source
NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing
Circuits, Systems, and Signal ProcessingDeep learning has been applied to compressive sensing (CS) of images successfully in recent years. However, existing network-based methods are often trained as the black box, in which the lack of prior knowledge is often the bottleneck for further performance improvement.
Shuai Bian +4 more
openaire +2 more sources
Secure Transcoding for Compressive Multimedia Sensing
, 2012 [[abstract]]Compressive sensing (CS) has recently attracted much attention due to its unique feature of directly and simultaneously acquiring compressed and encrypted data based on their sparse or compressible properties.
林智揚;Lin, Chih-Yang;Li-Wei Kang; Hung-Wei Chen;Chia-Mu Yu;Chun-Shien Lu;Chao-Yung Hsu;Soo-Chang Pei
core
Compressive sensing methods for SAR imaging
, 2014 Synthetic Aperture Radar (SAR) systems provide images with a resolution related to the transmitted signal and Doppler bandwidths. High resolution systems require large bandwidths, and then high sampling rates.
SCHIRINZI, Gilda +5 more
core +1 more source
Advanced Materials Technologies, EarlyView.An AlON interfacial layer is engineered within an AlN switching layer to enable transparent RRAM with four stable resistance states. The device achieves low‐voltage multilevel switching and a high HRS, allowing precise grayscale modulation and preventing light leakage in micro‐LEDs operated at VDD = 2.7 V.
Sung Keun Choi +7 more
wiley +1 more source
Advanced Robotics Research, EarlyView.To address challenges in high‐throughput intestinal sampling with sealed containment and target drug delivery, we developed a dual‐functional ingestible passive capsule with a dual‐triggered control system based on pH‐response and mechanical actuation.
Libing Huang +9 more
wiley +1 more source
Sparse Recovery Optimization in Wireless Sensor Networks with a Sub-Nyquist Sampling Rate
Sensors, 2015 Compressive sensing (CS) is a new technology in digital signal processing capable of high-resolution capture of physical signals from few measurements, which promises impressive improvements in the field of wireless sensor networks (WSNs).
Davide Brunelli, Carlo Caione
doaj +1 more source