221 citations · 1k across the 45 of their papers we have counts for
8 papers · 1 filter
Support Recovery of Periodic Mixtures with Nested Periodic Dictionaries
Pouria Saidi, George K. Atia
Periodic signals composed of periodic mixtures admit sparse representations in nested periodic dictionaries (NPDs). Therefore, their underlying hidden periods can be estimated by r…
Signal Reconstruction from Interferometric Measurements under Sensing Constraints
Davood Mardani, George K. Atia, Ayman F. Abouraddy
This paper develops a unifying framework for signal reconstruction from interferometric measurements that is broadly applicable to various applications of interferometry. In this f…
Compressive optical interferometry
Davood Mardani, H. Esat Kondakci, Lane Martin +2
Compressive sensing (CS) combines data acquisition with compression coding to reduce the number of measurements required to reconstruct a sparse signal. In optics, this usually tak…
Sparsity-Based Error Detection in DC Power Flow State Estimation
M. Hadi Amini, Mostafa Rahmani, Kianoosh G. Boroojeni +3
This paper presents a new approach for identifying the measurement error in the DC power flow state estimation problem. The proposed algorithm exploits the singularity of the imped…
Change Detection with Compressive Measurements
George Atia
Quickest change point detection is concerned with the detection of statistical change(s) in sequences while minimizing the detection delay subject to false alarm constraints. In th…
Sparse Signal Processing with Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach
Cem Aksoylar, George Atia, Venkatesh Saligrama
We derive fundamental sample complexity bounds for recovering sparse and structured signals for linear and nonlinear observation models including sparse regression, group testing,…
Controlled Sensing for Multihypothesis Testing
Sirin Nitinawarat, George Atia, Venugopal V. Veeravalli
The problem of multiple hypothesis testing with observation control is considered in both fixed sample size and sequential settings. In the fixed sample size setting, for binary hy…
Boolean Compressed Sensing and Noisy Group Testing
George Kamal Atia, Venkatesh Saligrama
The fundamental task of group testing is to recover a small distinguished subset of items from a large population while efficiently reducing the total number of tests (measurements…