Results 91 to 100 of about 1,128,000 (254)
InformationClassic video compression methods usually suffer from long encode time and requires large memories, making it hard to deploy on edge devices; thus, video compressive sensing, which requires less resources during encoding, is receiving more attention.
Lisha Gao +5 more
doaj +1 more source
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Advanced Engineering Materials, EarlyView.Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Passive Source Localization Using Compressive Sensing
Sensors, 2019 This paper presents an underwater passive source localization method by forming an underdetermined linear inversion problem. The signal strength on a specified grid is evaluated using sparse reconstruction algorithms by exploiting the spatial sparsity of
Hangfang Zhao +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study explores the discrepancies between bulk mechanics and spatial mapping in a tissue‐mimetic hydrogel model. Microplastic particles create localized stiff mechanical microenvironments that are detectable by cellular‐scale nanoindentation but leave bulk properties unchanged as measured by rheology.
Ahron T. Verschleisser +3 more
wiley +1 more source
Face hallucination via compressive sensing
Journal of Measurement Science and Instrumentation, 2016 Face hallucination or super-resolution is an inverse problem which is underdetermined,and the compressive sensing（CS）theory provides an effective way of seeking inverse problem solutions.In this paper,a novel compressive sensing based face hallucination ...
YANG Xue-feng, CHENG Yao-yu
doaj
Application of Coherence Function to the Analysis of Compressive Sensing [PDF]
, 2022 Compressive sensing has been developed for the sampling of sparse or compressible signals. Strong theorems state that when a signal is sufficiently sparse, its samples can be accurately recovered from random sub-Nyquist measurements.
Sujbert, László, Palkó, András
core
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
EURASIP Journal on Advances in Signal Processing, 2011 The success of compressive sensing (CS) implies that an image can be compressed directly into acquisition with the measurement number over the whole image less than pixel number of the image.
Xu Mai, Lu Jianhua
doaj
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
Compressed sensing of monostatic and multistatic SAR [PDF]
, 2013 In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Çetin, Müjdat +5 more
core +1 more source