390 citations · 3.4k across the 56 of their papers we have counts for
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Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
Sandeep Kumar, Ketan Rajawat, Daniel P. Palomar
In this two-part work, we propose an algorithmic framework for solving non-convex problems whose objective function is the sum of a number of smooth component functions plus a conv…
MIMO Transmit Beampattern Matching Under Waveform Constraints
Ziping Zhao, Daniel P. Palomar
In this paper, the multiple-input multiple-output (MIMO) transmit beampattern matching problem is considered. The problem is formulated to approximate a desired transmit beampatter…
Design of PAR-Constrained Sequences for MIMO Channel Estimation via Majorization-Minimization
Zhongju Wang, Prabhu Babu, Daniel P. Palomar
PAR-constrained sequences are widely used in communication systems and radars due to various practical needs; specifically, sequences are required to be unimodular or of low peak-t…
Sequence Set Design With Good Correlation Properties via Majorization-Minimization
Junxiao Song, Prabhu Babu, Daniel P. Palomar
Sets of sequences with good correlation properties are desired in many active sensing and communication systems, e.g., multiple-input-multiple-output (MIMO) radar systems and code-…
Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels
Junxiao Song, Prabhu Babu, Daniel P. Palomar
Sequences with low aperiodic autocorrelation sidelobes are well known to have extensive applications in active sensing and communication systems. In this paper, we consider the pro…
An Online Parallel and Distributed Algorithm for Recursive Estimation of Sparse Signals
Yang Yang, Mengyi Zhang, Marius Pesavento +1
In this paper, we consider a recursive estimation problem for linear regression where the signal to be estimated admits a sparse representation and measurement samples are only seq…