Super-Resolution With Binary Priors: Theory and Algorithms-Reference-Cited by-同舟云学术

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Super-Resolution With Binary Priors: Theory and Algorithms

Published:2023 Issue: Volume:71 Page:3213-3228
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Sarangi Pulak¹^ORCID,Hattori Ryoma²^ORCID,Komiyama Takaki²^ORCID,Pal Piya¹^ORCID

Affiliation:

1. Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA

2. Department of Neurosciences, and Halicioğlu Data Science Institute, Neurobiology Section, Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA, USA

Funder

ONR

NSF CAREER

NIH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/10040758/10078298.pdf?arnumber=10078298

Reference54 articles.

1. Guaranteed Localization of More Sources Than Sensors With Finite Snapshots in Multiple Measurement Vector Models Using Difference Co-Arrays

2. MUSIC for single-snapshot spectral estimation: Stability and super-resolution

3. Super-Resolution with Noisy Measurements: Reconciling Upper and Lower Bounds

4. A Non-convex Approach to Non-negative Super-resolution: Theory and Algorithm

5. Ultrasensitive fluorescent proteins for imaging neuronal activity

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