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ICIP
2009
IEEE
15 years 4 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
BCB
2010
140views Bioinformatics» more  BCB 2010»
15 years 1 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
BMCBI
2011
15 years 1 months ago
VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R
Background: Visualization of orthogonal (disjoint) or overlapping datasets is a common task in bioinformatics. Few tools exist to automate the generation of extensively-customizab...
Hanbo Chen, Paul C. Boutros
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 1 months ago
On Communication over Unknown Sparse Frequency-Selective Block-Fading Channels
The problem of reliable communication over unknown frequency-selective block-fading channels with sparse impulse responses is considered. In particular, discrete-time impulse respo...
Arun Pachai Kannu, Philip Schniter
JASIS
2011
103views more  JASIS 2011»
15 years 1 months ago
Using global mapping to create more accurate document-level maps of research fields
We describe two general approaches to creating document-level maps of science. To create a local map one defines and directly maps a sample of data, such as all literature publish...
Richard Klavans, Kevin W. Boyack