Results 51 to 60 of about 1,448,495 (301)

ATP‐Mediated Bidirectional Communication Between Natural and Artificial Cells for Controlled Bioreactions

open access: yesAdvanced Functional Materials, EarlyView.
Establishment of bidirectional communication behavior between natural and artificial cells. The first type of communication from natural dendritic cells to artificial polymeric cells was achieved via ATP release after cell lysis. The released ATP was taken up via gated UV‐controlled permeability increase of the polymeric membrane for performing ...
Ilona Kalte   +6 more
wiley   +1 more source

Compressive Sensing Image Sensors-Hardware Implementation

open access: yesSensors, 2013
The compressive sensing (CS) paradigm uses simultaneous sensing and compression to provide an efficient image acquisition technique. The main advantages of the CS method include high resolution imaging using low resolution sensor arrays and faster image ...
Shahram Shirani   +2 more
doaj   +1 more source

Orthogonalization of the Sensing Matrix Through Dominant Columns in Compressive Sensing for Speech Enhancement

open access: yesApplied Sciences, 2023
This paper introduces a novel speech enhancement approach called dominant columns group orthogonalization of the sensing matrix (DCGOSM) in compressive sensing (CS).
Vasundhara Shukla, Preety D. Swami
doaj   +1 more source

CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks [PDF]

open access: yesSensors, 2018
When the nodes in the network are deployed in the target area with an appropriate density, the effective aggregation and transmission of the data gathered in the monitoring area remain to be solved. The existing Compressed Sensing (CS) based on data aggregation schemes are accomplished in a centralized manner and the Sink node achieves the task of data
Zeyu Sun 0002   +5 more
openaire   +4 more sources

Compressive Sensing for PAN-Sharpening [PDF]

open access: yes, 2011
Based on compressive sensing framework and sparse reconstruction technology, a new pan-sharpening method, named Sparse Fusion of Images (SparseFI, pronounced as sparsify), is proposed in [1].
Bamler, Richard   +3 more
core  

Deciphering the Photopolymerization‐Induced Nanostructures and Interface Formation for Submicrometer Additive Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen   +13 more
wiley   +1 more source

KF-CS: Compressive Sensing on Kalman Filtered Residual

open access: yesCoRR, 2009
7 pages, 2 figures, submitted to the IEEE for possible ...
openaire   +2 more sources

Introduction to compressive sensing in acoustics

open access: yes, 2018
Compressive sensing (CS) in acoustics has received significant attention in the last decade, and thus motivates this special issue. CS emerged from the signal processing and applied math community and has since generated compelling results in acoustics ...
Seong, Woojae   +7 more
core   +1 more source

Biodegradable 3D‐Printable and Coatable Antifouling Composites for Marine Applications

open access: yesAdvanced Functional Materials, EarlyView.
Marine biofouling damages submerged surfaces and raises greenhouse gas emissions. Biodegradable antifouling biocomposites were developed by hot‐mixing beeswax, Tween 80, and calcium stearate or stearic acid. Adjusting the component ratio enables processing via hot‐pressing, 3D‐printing, or dip‐coating.
Gabriele Corigliano   +17 more
wiley   +1 more source

Compressive Sensing and its Application to Speech Signal Processing [PDF]

open access: yes, 2017
Compressed sensing or compressive sensing or Compressive sampling or CS is a revolutionary technique that strongly relies on sparsity of signal. CS has been applied in areas like Radar systems, sonar systems, video signal, and image processing etc.
Pooja C. Nahar, Dr. Mahesh T. Kolte
core   +1 more source

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