Results 51 to 60 of about 1,002,666 (308)
International Journal of Distributed Sensor Networks, 2019 In the past decades, compressed sensing emerges as a promising technique for signal acquisition in low-cost sensor networks. For prolonging the monitoring duration of biosignals, compressed sensing is also exploited for simultaneous sampling and ...
Junxin Chen +3 more
doaj +1 more source
A novel cooperative spectrum signal detection algorithm for underwater communication system
EURASIP Journal on Wireless Communications and Networking, 2019 In order to further improve the spectrum resource detection probability and increase the spectrum utilization rate in underwater wireless communication systems, this paper designs a novel multi-layer cooperative spectrum sensing algorithm based on ...
Jiang Xiaolin +2 more
doaj +1 more source
Segmented Multistage Reconstruction of Magnetic Resonance Images
Advances in Electrical and Computer Engineering, 2021 Compressed sensing of magnetic resonance imaging refers to the reconstruction of magnetic resonance images from partially sampled k-space data. The k-space data reduces reconstruction processing time but at the cost of increasing artifacts - especially
FARIS, M. +3 more
doaj +1 more source
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
core +1 more source
Magnetic Resonance Imaging with Deep Learning : Compressed Sensing applied to TOF sequence [PDF]
, 2022 openIl ruolo dell’Intelligenza Artificiale è divenuto fondamentale all'interno della vita degli individui e, in maniera maggiormente rilevante, nella vita dei pazienti. Lo sviluppo di sistemi ingegnosi, come il Deep Learning, hanno permesso un notevole
GAVRILOVSKA, MARTINA
core
Sequential Compressed Sensing [PDF]
IEEE Journal of Selected Topics in Signal Processing, 2010 Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sensing literature have focused on characterizing the achievable performance by bounding the number of samples required for a given level of signal sparsity. However, using these
Malioutov, Dmitry M. +2 more
openaire +5 more sources
Perceptual Compressive Sensing [PDF]
, 2018 Accepted by The First Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2018). This is a pre-print version (not final version)
Xuemei Xie +4 more
openaire +3 more sources
Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin +11 more
wiley +1 more source
Compressed hyperspectral sensing [PDF]
SPIE Proceedings, 2015 Acquisition of high dimensional Hyperspectral Imaging (HSI) data using limited dimensionality imaging sensors has led to restricted capabilities designs that hinder the proliferation of HSI. To overcome this limitation, novel HSI architectures strive to minimize the strict requirements of HSI by introducing computation into the acquisition process.
Grigorios Tsagkatakis +1 more
openaire +2 more sources
Sampling and reconstructing signals from a union of linear subspaces
, 2011 In this note we study the problem of sampling and reconstructing signals which are assumed to lie on or close to one ofseveral subspaces of a Hilbert space.
Blumensath, Thomas, Thomas Blumensath
core +2 more sources