M
Milica Stojanovic
Researcher at Northeastern University
Publications - 333
Citations - 20043
Milica Stojanovic is an academic researcher from Northeastern University. The author has contributed to research in topics: Underwater acoustic communication & Communication channel. The author has an hindex of 62, co-authored 313 publications receiving 18218 citations. Previous affiliations of Milica Stojanovic include Dana Corporation & Massachusetts Institute of Technology.
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Journal ArticleDOI
Structured sparse methods for active ocean observation systems with communication constraints
Urbashi Mitra,Sunav Choudhary,Franz S. Hover,Robert Hummel,Naveen Kumar,Shrikanth S. Naryanan,Milica Stojanovic,Gaurav S. Sukhatme +7 more
TL;DR: New methods of field reconstruction, target tracking, and exploration-exploitation are provided, which adopt sparse approximation, compressed sensing, and matrix completion algorithms, and show that solutions can be practically implemented, even over large ocean spaces.
Journal ArticleDOI
Extreme precipitation events
Luis Gimeno,Rogert Sorí,Marta Vázquez,Milica Stojanovic,Iago Algarra,Jorge Eiras-Barca,Luis Gimeno-Sotelo,Raquel Nieto +7 more
TL;DR: In this article , the authors address the definition of extreme events, changes in their distribution and intensity both globally and regionally, the dependence on large-scale phenomena including the role of moisture transport, and change in their behavior due to anthropogenic pressures.
Journal ArticleDOI
Compressed sensing in random access networks with applications to underwater monitoring
TL;DR: An analytical framework for system design that ensures fast recovery and power-efficiency is provided and it is demonstrated that recovery of the field can be attained using only a fraction of the resources used by a conventional TDMA network, while employing a scheme which is simple to implement.
Journal ArticleDOI
A simple generalization of the CDMA reverse link pole capacity formula
TL;DR: A formula that computes the maximum number of users supported per base station in a cellular radio network is generalized to consider the frequency reuse number and arbitrary processing gains to quantify a cost associated with in-cell interference.
Proceedings ArticleDOI
Adaptive Channel Estimation for Underwater Acoustic MIMO OFDM Systems
TL;DR: Channel estimation is coupled with phase tracking and prediction to enable decision-directed operation in the presence of non-uniform Doppler distortion, which provides improved performance and reduced overhead.