1 citations · 1 across the 5 of their papers we have counts for
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Bayesian Convolutional Neural Networks for Prior Learning in Graph Signal Recovery
Razieh Torkamani, Arash Amini, Hadi Zayyani +1
Graph signal recovery (GSR) is a fundamental problem in graph signal processing, where the goal is to reconstruct a complete signal defined over a graph from a subset of noisy or m…
DOA Estimation via Optimal Weighted Low-Rank Matrix Completion
Saeed Razavikia, Mohammad Bokaei, Arash Amini +2
This paper presents a novel method for estimating the direction of arrival (DOA) for a non-uniform and sparse linear sensor array using the weighted lifted structure low-rank matri…
Subspace-Informed Matrix Completion
Hamideh. Sadat Fazael Ardakani, Sajad Daei, Arash Amini +2
In this work, we consider the matrix completion problem, where the objective is to reconstruct a low-rank matrix from a few observed entries. A commonly employed approach involves…
Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion
Mohammad Bokaei, Saeed Razavikia, Stefano Rini +2
In this paper, we investigate the problem of recovering the frequency components of a mixture of complex sinusoids from a random subset of equally-spaced time-domain sample…