Ahmad Bazzi

Ahmad Bazzi

he/him

Research Scientist

A Newton-Type Forward-Backward Greedy Method for Multi-Snapshot Compressed Sensing

Published in ASILOMAR 2017 - Asilomar Conference on Signals, Systems, and Computers, 2017

This paper introduces a Newton-type forward-backward greedy algorithm for multi-snapshot compressed sensing. By exploiting the joint sparsity structure across snapshots and incorporating second-order curvature information at each step, the proposed method improves recovery accuracy over standard greedy algorithms in the multi-snapshot regime.

Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "A Newton-Type Forward-Backward Greedy Method for Multi-Snapshot Compressed Sensing," in ASILOMAR 2017 - Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2017. https://doi.org/10.1109/ACSSC.2017.8335537

Show BibTeX
@article{bazzi2017newton-type,
  title   = {A Newton-Type Forward-Backward Greedy Method for Multi-Snapshot Compressed Sensing},
  author  = {Ahmad Bazzi and Dirk T. M. Slock and Lisa Meilhac},
  journal = {ASILOMAR 2017 - Asilomar Conference on Signals, Systems, and Computers},
  year    = {2017},
  month   = {oct},
  publisher = {IEEE},
  doi     = {10.1109/ACSSC.2017.8335537},
  url     = {https://doi.org/10.1109/ACSSC.2017.8335537},
}