Ada-JSR: Sample Efficient Adaptive Joint Support Recovery From Extremely Compressed Measurement Vectors
Author:
Affiliation:
1. University of California,Dept. of Electrical and Computer Engineering,San Diego,USA
Funder
Office of Naval Research
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747053.pdf?arnumber=9747053
Reference23 articles.
1. Robust DOA and Subspace Estimation for Hybrid Channel Sensing
2. Shannon-Theoretic Limits on Noisy Compressive Sampling
3. Performance Analysis for Sparse Support Recovery
4. Limits on Support Recovery of Sparse Signals via Multiple-Access Communication Techniques
5. Pushing the Limits of Sparse Support Recovery Using Correlation Information
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