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Section: Publications & Resources
Publication: IEEE Transactions on Multimedia
With the development of cloud storage and privacy protection, reversible data hiding in encrypted images (RDHEI) has attracted increasing attention as a technology that can: embed additional data in the image encryption domain, ensure that the embedded data can be extracted error-free, and the original image can be restored losslessly.
Section: Publications & Resources
We consider the problem of learning a graph from a given set of smooth graph signals. Our graph learning approach is formulated as a constrained quadratic program in the edge weights. We provide an implicit characterization of the optimal solution and propose a tailored ADMM algorithm to solve this problem efficiently.
Section: Publications & Resources
Observability is a fundamental concept in system inference and estimation. This article is focused on structural observability analysis of Cartesian product networks. Cartesian product networks emerge in variety of applications including in parallel and distributed systems.
Section: Publications & Resources
We consider a specific graph learning task: reconstructing a symmetric matrix that represents an underlying graph using linear measurements. We present a sparsity characterization for distributions of random graphs (that are allowed to contain high-degree nodes), based on which we study fundamental trade-offs between the number of measurements, the complexity of the graph class, and the probability of error.
Section: Publications & Resources
In this article, we explore the state-space formulation of a network process to recover from partial observations the network topology that drives its dynamics. To do so, we employ subspace techniques borrowed from system identification literature and extend them to the network topology identification problem.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Space-time adaptive processing (STAP) algorithms with coprime arrays can provide good clutter suppression potential with low cost in airborne radar systems as compared with their uniform linear arrays counterparts. However, the performance of these algorithms is limited by the training samples support in practical applications.
Section: Publications & Resources
In an effort to continue our programs and services during this difficult time, the SPS Awards Board is now accepting nominations for all Society level awards, from paper awards to the major society awards. Nominations are due by 1 September 2020.
Issue Date:
Section: Community & Involvement
IEEE Signal Processing Society has several programs to strengthen engagement between the members of the society, its leadership and the technical communities.
Section: Publications & Resources
Chetan Arora is an Associate Professor with Computer Science Department at IIT Delhi. He received Ph.D. in Computer Science and B.Tech in Electrical Engineering, both from IIT Delhi in 2012 and 1999 respectively. He did his Post Doctoral Research with Prof. Shmuel Peleg from 2012-2014 in Hebrew University, Israel. Prior to joining IIT Delhi, he was an Assistant Professor with IIIT Delhi.
