Results 101 to 110 of about 150,988 (321)
Frequency Selective Compressed Sensing [PDF]
arXiv, 2015 In this paper the authors describe the problem of acquisition of interfered signals and formulate a filtering problem. A frequency-selective compressed sensing technique is proposed as a solution to this problem. Signal acquisition is critical in facilitating frequency-selective compressed sensing.
arxiv
Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Advanced Engineering Materials, EarlyView.Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang +8 more
wiley +1 more source
Restricted Structural Random Matrix for Compressive Sensing [PDF]
arXiv, 2020 Compressive sensing (CS) is well-known for its unique functionalities of sensing, compressing, and security (i.e. CS measurements are equally important). However, there is a tradeoff. Improving sensing and compressing efficiency with prior signal information tends to favor particular measurements, thus decrease the security.
arxiv
Advanced Engineering Materials, EarlyView.Laser powder‐bed fusion (L‐PBF) can produce dense WE43 magnesium alloy parts, but their mechanical properties are limited by a nonhomogeneous microstructure. This study investigates the effects of varying direct aging (T5) and artificial age‐hardening (T6) conditions on microstructure and strength. Optimized T6 treatment significantly improves strength
Prathviraj Upadhyaya +5 more
wiley +1 more source
Adaptive Beamforming Based on Compressed Sensing with Smoothed l0 Norm
International Journal of Antennas and Propagation, 2015 An adaptive beamforming based on compressed sensing with smoothed l0 norm for large-scale sparse receiving array is proposed in this paper. Because of the spatial sparsity of the arriving signal, compressed sensing is applied to sample received signals ...
Yubing Han, Jian Wang
doaj +1 more source
CMCS‐net: image compressed sensing with convolutional measurement via DCNN
IET Image Processing, 2020 Recently, deep learning methods have made a remarkable improvement in compressed sensing image recovery stage. In the compressed measurement stage, the existing methods measured by block by block owing to a huge measurement dictionary for the whole ...
Yahong Xie, Hailin Wang, Jianjun Wang
doaj +1 more source
Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty [PDF]
arXiv, 2019 Compressive sensing is a novel approach that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling rate and outperforms traditional signal processing techniques in acquiring and reconstructing such signals. Compressive sensing with matrix uncertainty is an extension of the standard compressive sensing problem
arxiv
Advanced Engineering Materials, EarlyView.The share of technical thermoplastics is expected to grow further in the e‐mobility segment. In this study, a detailed temperature‐based tribological characterization of technical thermoplastics is performed. The tribological properties are discussed in terms of the dynamic mechanical properties of polymers at different ambient temperatures. A proof of
Harsha Raghuram +2 more
wiley +1 more source
A Comparative Study of Audio Compression Based on Compressed Sensing and Sparse Fast Fourier Transform (SFFT): Performance and Challenges [PDF]
arXiv, 2014 Audio compression has become one of the basic multimedia technologies. Choosing an efficient compression scheme that is capable of preserving the signal quality while providing a high compression ratio is desirable in the different standards worldwide.
arxiv
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 In this paper we present a novel compressed sensing (CS) algorithm for the recovery of compressible, possibly time-varying, signal from a sequence of noisy observations. The newly derived scheme is based on the acclaimed unscented Kalman filter (UKF), and is essentially self reliant in the sense that no peripheral optimization or CS algorithm is ...
Carmi, Avishy Y. +2 more
openaire +3 more sources