Results 61 to 70 of about 66,013 (262)
Alternating projection for sparse recovery
IET Signal Processing, 2017 Reconstructing the sparse signal from a few linear measurements has attracted increasing attentions in recent years. In this study, the authors propose the alternating projection (AP) method for sparse signal recovery with learning the sparsity of the original signal.
Tao Sun 0005 +3 more
openaire +1 more source
Number of measurements in sparse signal recovery [PDF]
2009 IEEE International Symposium on Information Theory, 2009 6 pages, 1 figure.
Paul Tune +2 more
openaire +2 more sources
Microfabricated Anisotropic Myobundles for the Scalable Production of Cardiac Tissue Grafts
Advanced Functional Materials, EarlyView.Controlling the anisotropy of cardiac tissue remains an outstanding challenge in the field of cardiac tissue engineering. Here, we introduce an approach to generate anisotropic cardiac myobundles using cell‐adhesive, synthetic, electrospun fibers and stem cell‐derived cardiac fibroblasts.
Maggie E. Jewett +15 more
wiley +1 more source
A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals
Discrete Dynamics in Nature and Society, 2014 We present a probabilistic analysis on conditions of the exact recovery of block-sparse signals whose nonzero elements appear in fixed blocks. We mainly derive a simple lower bound on the necessary number of Gaussian measurements for exact recovery of ...
Zhi Han +3 more
doaj +1 more source
Sparse recovery for Earth Mover Distance [PDF]
2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010 We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A, for m « n, such that for any x, given Ax, we can recover a k-sparse approximation to x under the EMD distance.
Gupta, Rishi V. +2 more
openaire +2 more sources
Sparse signal recovery in Hilbert spaces [PDF]
2012 IEEE International Symposium on Information Theory Proceedings, 2012 This paper reports an effort to consolidate numerous coherence-based sparse signal recovery results available in the literature. We present a single theory that applies to general Hilbert spaces with the sparsity of a signal defined as the number of (possibly infinite-dimensional) subspaces participating in the signal's representation.
Graeme Pope, Helmut Bölcskei
openaire +2 more sources
Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing
Advanced Functional Materials, EarlyView.Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker +5 more
wiley +1 more source
Gradient-Based Methods for Sparse Recovery [PDF]
SIAM Journal on Imaging Sciences, 2011 16 pages, submitted to SIAM Journal on Imaging ...
William W. Hager +2 more
openaire +2 more sources
MXene Wrapped Magnetic Mesocrystals for Durable Redox Catalytic Cancer Therapy and Responsive MRI
Advanced Functional Materials, EarlyView.Conformal wrapping of ultrathin Ti3C2Tx MXene nanosheets on Fe3O4 mesocrystals creates topology‐stabilized Schottky junctions that direct photoinduced electron transfer under NIR irradiation. The unique architecture sustains Fenton catalysis, promotes continuous hydroxyl radical production, and provides photo‐responsive MRI contrast.
Min Jun Ko +10 more
wiley +1 more source
Blind Phase Calibration In Sparse Recovery
EUSIPCO - 21st European Signal Processing Conference - 2013, 2013 Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Bilen, Cagdas +3 more
openaire +4 more sources