Results 131 to 140 of about 204,120 (332)
Compressed sensing electron tomography
Ultramicroscopy, 2013 The recent mathematical concept of compressed sensing (CS) asserts that a small number of well-chosen measurements can suffice to reconstruct signals that are amenable to sparse or compressible representation. In addition to powerful theoretical results, the principles of CS are being exploited increasingly across a range of experiments to yield ...
Rowan Leary +3 more
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Additive manufacturing technologies like laser powder‐bed fusion offer great design freedom and individualization of products down to a batch size of one. However, parts fabricated with this technology suffer from poor quality. Acoustic assistance during the build process can minimize these drawbacks.
Oliver Maurer, Dirk Bähre
wiley +1 more source
Compressive Sensing Theory for Optical Systems Described by a Continuous Model
, 2015 A brief survey of the author and collaborators' work in compressive sensing applications to continuous imaging models.Comment: Chapter 3 of "Optical Compressive Imaging" edited by Adrian Stern published by Taylor & Francis ...
Fannjiang, Albert
core
Advanced Engineering Materials, EarlyView.This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach +6 more
wiley +1 more source
A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks [PDF]
International Journal of Digital Information and Wireless
Communications (IJDIWC), ISSN: 2225-658X (Online); ISSN 2412-6551, 2019, 2019 In this paper, a cooperative spectrum sensing scheme based on compressive sensing is proposed. In this scheme, secondary users (SUs) are organized in clusters. In each cluster, SUs forward their compressed signals to the cluster head. Then, the cluster heads report the local sensing data to the fusion center to make the final decision.
arxiv
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
Compressed sensing over the Grassmann manifold: A unified analytical framework [PDF]
, 2008 Weiyu Xu, Babak Hassibi
openalex +1 more source
Advanced Engineering Materials, EarlyView.A new experimental setup, incorporating digital image correlation and infrared thermography in combination with inductive‐conductive heating for precise temperature control, is used to analyze the mechanical behavior and microstructural changes of sheet metal under complex thermomechanical test conditions that represent quench and partitioning ...
Christian Illgen +4 more
wiley +1 more source
Near-Optimal Adaptive Compressed Sensing [PDF]
arXiv, 2013 This paper proposes a simple adaptive sensing and group testing algorithm for sparse signal recovery. The algorithm, termed Compressive Adaptive Sense and Search (CASS), is shown to be near-optimal in that it succeeds at the lowest possible signal-to-noise-ratio (SNR) levels, improving on previous work in adaptive compressed sensing.
arxiv
Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing [PDF]
, 2009 Jean‐Luc Starck, J. Bobin
openalex +3 more sources