Results 71 to 80 of about 48,878 (307)

Convolutional compressed sensing using deterministic sequences [PDF]

, 2012
This is the author's accepted manuscript (with working title "Semi-universal convolutional compressed sensing using (nearly) perfect sequences"). The final published article is available from the link below. Copyright @ 2012 IEEE.
Cong Ling, Li, K, Gan, L, Kezhi Li, Ling, C   +4 more
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

An Adaptive Randomized Orthogonal Matching Pursuit Algorithm With Sliding Window for Rolling Bearing Fault Diagnosis

IEEE Access, 2018
Sparse representation, as a powerful signal processing method, is widely used in rolling bearing fault diagnosis. As an algorithm for solving the sparse model, randomized orthogonal matching pursuit (RandOMP) algorithm shows excellent performance in ...
Jimeng Li, Ming Li, Xifeng Yao, Hui Wang
doaj   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

FEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas, Aaron D. Morgan, Ignas Čiurlionis, Christian Böhm, Stefan Jockenhövel, Willi Jahnen‐Dechent, Marc A. M. J. van Zandvoort   +6 more
wiley   +1 more source

Complex NMF: A new sparse representation for acoustic signals [PDF]

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows us to extract recurrent patterns of magnitude spectra that underlie observed complex spectra and the phase estimates of constituent signals. An efficient iterative algorithm is
Hirokazu Kameoka, Nobutaka Ono, Kunio Kashino, Shigeki Sagayama   +3 more
openaire   +1 more source

A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation [PDF]

, 2010
The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-642-15995-4_57ESPRC Leadership Fellowship EP/G007144/1EPSRC Platform Grant EP/045235/1EU FET-Open Project FP7-ICT-225913 ...
Plumbley, Mark D., Gretsistas, A, Plumbley, MD, Mark D. Plumbley, Gretsistas, Aris, Aris Gretsistas   +5 more
core   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]

, 2013
Nonquadratic regularization-based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Çetin, Müjdat, Samadi, Sadegh, Masnadi-Shirazi, Mohammad Ali   +2 more
core   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source

SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms

, 2010
International ...
Plumbley, Mark D., Plumbley, MD, Mark D. Plumbley, Davies, Matthew, Matthew E. P. Davies, Damnjanovic, Ivan, Davies, MEP, Ivan Damnjanovic, Damnjanovic, I   +8 more
core   +1 more source