Results 121 to 130 of about 150,988 (321)
Blind Compressed Sensing Parameter Estimation of Non-cooperative Frequency Hopping Signal
Leida xuebao, 2016 To overcome the disadvantages of a non-cooperative frequency hopping communication system, such as a high sampling rate and inadequate prior information, parameter estimation based on Blind Compressed Sensing (BCS) is proposed.
Chen Ying, Zhong Fei, Guo Shuxu
doaj +1 more source
A Deterministic Construction of Projection matrix for Adaptive Trajectory Compression [PDF]
arXiv, 2013 Compressive Sensing, which offers exact reconstruction of sparse signal from a small number of measurements, has tremendous potential for trajectory compression. In order to optimize the compression, trajectory compression algorithms need to adapt compression ratio subject to the compressibility of the trajectory.
arxiv
Advanced Engineering Materials, EarlyView.The influence of oxide nanoparticle synthesis route and concentration on microstructure and high‐temperature performance of additively manufactured oxide dispersion‐strengthened steels is investigated. Comparing laser‐generated and chemically synthesized ZrO2 nanoparticles, the study reveals how dispersion quality, crystal structure and particle size ...
Mareen Goßling +12 more
wiley +1 more source
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
A Novel Decentralized Scheme for Cooperative Compressed Spectrum Sensing in Distributed Networks
International Journal of Distributed Sensor Networks, 2015 Compressed sensing (CS) recently turns out to be an effective approach to alleviate the sampling bottleneck in wideband spectrum sensing. However, the computation overhead incurred by compressed reconstruction is nontrivial, especially in a power ...
Huang Jijun, Zha Song
doaj +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
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
Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing [PDF]
, 2009 Jean‐Luc Starck, J. Bobin
openalex +3 more sources
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