26 citations · 46 across the 4 of their papers we have counts for
4 papers
Projected Nesterov's Proximal-Gradient Algorithm for Sparse Signal Reconstruction with a Convex Constraint
Renliang Gu, Aleksandar Dogandžić
We develop a projected Nesterov's proximal-gradient (PNPG) approach for sparse signal reconstruction that combines adaptive step size with Nesterov's momentum acceleration. The obj…
A Max-Product EM Algorithm for Reconstructing Markov-tree Sparse Signals from Compressive Samples
Zhao Song, Aleksandar Dogandzic
We propose a Bayesian expectation-maximization (EM) algorithm for reconstructing Markov-tree sparse signals via belief propagation. The measurements follow an underdetermined linea…
Mask Iterative Hard Thresholding Algorithms for Sparse Image Reconstruction of Objects with Known Contour
Aleksandar Dogandzic, Renliang Gu, Kun Qiu
We develop mask iterative hard thresholding algorithms (mask IHT and mask DORE) for sparse image reconstruction of objects with known contour. The measurements follow a noisy under…
ECME Thresholding Methods for Sparse Signal Reconstruction
Kun Qiu, Aleksandar Dogandzic
We propose a probabilistic framework for interpreting and developing hard thresholding sparse signal reconstruction methods and present several new algorithms based on this framewo…