4 citations · 6 across the 7 of their papers we have counts for
7 papers
Linearly Constrained Smoothing Group Sparsity Solvers in Off-grid Model
Cheng-Yu Hung, Mostafa Kaveh
In compressed sensing, the sensing matrix is assumed perfectly known. However, there exists perturbation in the sensing matrix in reality due to sensor offsets or noise disturbance…
Joint Block Low Rank and Sparse Matrix Recovery in Array Self-Calibration Off-Grid DoA Estimation
Cheng-Yu Hung, Mostafa Kaveh
This letter addresses the estimation of directions-of-arrival (DoA) by a sensor array using a sparse model in the presence of array calibration errors and off-grid directions. The…
Low Rank Matrix Recovery for Joint Array Self-Calibration and Sparse Model DoA Estimation
Cheng-Yu Hung, Mostafa Kaveh
In this work, combined calibration and DoA estimation is approached as an extension of the formulation for the Single Measurement Vector (SMV) model of self-calibration to the Mult…
Throughput Efficient Large M2M Networks through Incremental Redundancy Combining
Amogh Rajanna, Mos Kaveh
In this paper, we investigate the performance of incremental redundancy combining as a new cooperative relaying protocol for large M2M networks with opportunistic relaying. The nod…
Cooperative Relaying for Large Random Multihop Networks
Amogh Rajanna, Mos Kaveh
In this paper, we propose a new relaying protocol for large multihop networks combining the concepts of cooperative diversity and opportunistic relaying. The cooperative relaying p…
An Algorithm for Missing Value Estimation for DNA Microarray Data
Shmuel Friedland, Mostafa Kaveh, Amir Niknejad +1
Gene expression data matrices often contain missing expression values. In this paper, we describe a new algorithm, named improved fixed rank approximation algorithm (IFRAA), for mi…