Results 101 to 110 of about 1,448,495 (301)

Revising regularisation with linear approximation term for compressive sensing improvement [PDF]

, 2019
In this Letter, the authors propose a novel revised regularisation to improve the performance of compressive sensing (CS) reconstruction. They suppose that a specific regularisation term is insufficient to accommodate the prior information of CS while it
Shao, Ling, Wang, Shidong, Chen, Zan, Hou, Xingsong   +3 more
core   +1 more source

SWIR imaging through strong atmospheric turbulence: Comparing a focal-plane-array camera and a compressive sensor

, 2022
Paper 111600B, 9 S.Atmospheric turbulence degrades focal-plane-array (FPA) camera images because of intensity fluctuation, distortion, and blur, notably for long-range applications.
Paunescu, Gabriela, Wegner, Daniel, Lutzmann, Peter   +2 more
core   +1 more source

Photoluminescence Reshaping via Structural Confinement and Local Density of Optical States Control in Ir(III)‐Doped Biodegradable Metasurfaces

Advanced Materials Technologies, EarlyView.
Phosphorescent biodegradable metasurface showing vibronic selection and spectral photoluminescence narrowing. Anti‐correlation between experimental LDOS and measured lifetimes. ABSTRACT Metasurfaces incorporating phosphorescent emitters offer a route to engineer radiative and vibronic processes beyond chemical design.
Vincenzo Caligiuri, Andrea Smeriglio, Svetlana Siprova, Olga Favale, Francesca Leone, Roberto Termine, Debora Policastro, Alessandra Crispini, Attilio Golemme, Nicolas Godbert, Iolinda Aiello, Antonio De Luca   +11 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, Mohammed Y. Abdelsadek, Mohammed Farrag   +2 more
doaj   +1 more source

CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning

CoRR
Vision-Language Models (vLLMs) have emerged as powerful architectures for joint reasoning over visual and textual inputs, enabling breakthroughs in image captioning, cross modal retrieval, and multimodal dialogue. However, as these models scale to longer video sequences and richer language descriptions, the quadratic complexity of the standard ...
Andrew Kiruluta, Preethi Raju, Priscilla Burity   +2 more
openaire   +2 more sources

Highly Conductive and Transparent Coatings via Low‐Temperature Hydroiodic Acid Vapor Treatment of Oxo‐Graphene Thin Films

Advanced Materials Technologies, EarlyView.
The double self‐assembly (DSA) method applied to oxo‐graphene (oxo‐G) flakes followed by hydroiodic acid (HI) vapor treatment and low‐temperature annealing yields highly conductive, optically transparent thin films with the potential for applications in electronic and optoelectronic devices.
Arindam Konar, David Kaiser, Guobin Jia, Hamid Reza Rasouli, Janis Köster, Christof Neumann, Andrea Dellith, Uwe Hübner, Christian E. Halbig, Siegfried Eigler, Ute Kaiser, Benjamin Dietzek‐Ivanšić, Jonathan Plentz, Andrey Turchanin   +13 more
wiley   +1 more source

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  

Wavelet-Based Compressed Sensing for Polarimetric SAR Tomography [PDF]

, 2013
Tomographic synthetic aperture radar (SAR) imaging has been recently formulated in a wavelet-based compressed sensing (CS) framework. This paper reviews the underlying sparsity-driven algorithms for single-channel as well as polarimetric tomography, and ...
Nannini, Matteo, Aguilera, Esteban, Andreas, Reigber   +2 more
core  

Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing

Advanced Materials Technologies, EarlyView.
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi, Osman Gul, Wonhee Lee, Seokjoo Cho, Yong‐Jin Yoon, Paola Saccomandi, Inkyu Park   +6 more
wiley   +1 more source

NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing

Circuits, Systems, and Signal Processing
Deep 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, Shouliang Qi, Chen Li 0022, Yudong Yao, Yueyang Teng   +4 more
openaire   +2 more sources