Results 81 to 90 of about 18,243 (295)
Random Filters for Compressive Sampling [PDF]
2006 40th Annual Conference on Information Sciences and Systems, 2006 This paper discusses random filtering, a recently proposed method for directly acquiring a compressed version of a digital signal. The technique is based on convolution of the signal with a fixed FIR filter having random taps, followed by downsampling.
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
Compressive Sampling of Speech Signals [PDF]
, 2011 Compressive sampling is an evolving technique that promises to effectively recover a sparsesignal from far fewer measurements than its dimension. The compressive sampling theoryassures almost an exact recovery of a sparse signal if the signal is sensed ...
Ramadan, Mona Hussein
core
A Novel Image Compressive Sensing Method Based on Complex Measurements
, 2011 Compressive sensing (CS) has emerged as an efficient signal compression and recovery technique, that exploits the sparsity of a signal in a transform domain to perform sampling and stable recovery.
Xiang, Wei +5 more
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Compressive Signal Processing for Estimating Range-Velocity-AoA in FMCW Radar Applications
IEEE AccessFrequency-modulated continuous wave (FMCW) radars are known to accurately estimate the parameters of targets with low-cost and low-power transceiver systems.
Eny Sukani Rahayu +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Synthetic aperture sonar imaging using compressive sensing and an ultrasound transducer array
, 2013 Includes bibliographical references.Compressive sensing (CS) also known as compressive sampling is a technique used to reconstruct or recover the full-length of a signal with only a few non-adaptive measurements.
Jideani, Josiah Chimnanu
core
Compressed Sensing with nonlinear observations and related non-linear optimisation problems
, 2013 Non-convex constraints have recently proven a valuable tool in many optimisation problems. In particular sparsity constraints have had a significant impact on sampling theory, where they are used in Compressed Sensing and allow structured signals to be ...
Blumensath, Thomas
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Missing Internet Traffic Reconstruction using Compressive Sampling
, 2022 Missing traffic is a commonly problem in large-scale network. Because the traffic information is needed by network engineering task for network monitoring, there are several methods that recover the missing problem.
Irawati, Indrarini Dyah +2 more
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