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Adaptive sensing for sparse recovery
Jarvis Haupt
, Robert Nowak
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
4
Scopus citations
Overview
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Dive into the research topics of 'Adaptive sensing for sparse recovery'. Together they form a unique fingerprint.
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Keyphrases
Adaptive Sensing
100%
Sparse Recovery
100%
Low-dimensional Structures
100%
Dictionary
66%
High-dimensional Inference
66%
Sparsity
66%
Inference Problem
66%
Object of Interest
66%
Linear Combination
66%
Elementary Functions
66%
Large Collection
66%
Dimensionality Reduction
33%
Focus Sensing
33%
Measurement Process
33%
Additive Noise
33%
Non-adaptive
33%
Measurement Scheme
33%
Adaptive Measurement
33%
Sequential Measurements
33%
Engineering
Dimensional Structure
100%
Adaptive Sensing
100%
Simple Model
66%
Sparsity
66%
Linear Combination
66%
Elementary Function
66%
Dimensionality
33%
Additive Noise
33%
Measurement Process
33%
Mathematics
Dimensional Structure
100%
Linear Combination
66%
Simple Model
66%
Elementary Function
66%
Dimensional Object
33%
Additive Noise
33%
Measurement Process
33%