On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition Numbers is a research paper published in IEEE Transactions on Signal Processing (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
NIH
Grant: R01-MH116173
NIH
Grant: R01-NS074980
National Institutes of Health
Grant: 5R01NS074980-08
BrainSuite: Software for Analysis and Visualization of Multimodal Brain Imaging Data
NIMH NIH HHS
Grant: R01 MH116173
NINDS NIH HHS
Grant: R01 NS074980
FWCI
0.31
Citation Percentile
0.4%
Citation Trend
Fields of Study
Keywords
On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition Numbers