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Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

This paper tackles the challenging problem of jointly inferring time-varying network topologies and imputing missing data from partially observed graph signals. We propose a unified non-convex optimiz

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

In this paper, we investigate the problem of decentralized online resource allocation in the presence of Byzantine attacks. In this problem setting, some agents may be compromised due to external mani

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

This paper proposes an interleaved transmission architecture for a multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system that enables continuous data transmission wh

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Conventional uniform Pulse Repetition Frequency (PRF) radars face an inherent tradeoff between maximum unambiguous range and maximum unambiguous velocity, which fundamentally limits the detection of d

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Localization and tracking (LocTrack) are fundamental enablers for a wide range of emerging applications. Reconfigurable intelligent surfaces (RISs) have emerged as key components for enhancing the Loc

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Transmit beamforming design is a fundamental problem in integrated sensing and communication (ISAC) systems. Numerous methods have been proposed to jointly optimize key performance metrics such as the

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

In this paper, a distributed estimation algorithm is proposed to address the $\boldsymbol{H}_{{\infty}}$-consensus state estimation challenges over binary sensor networks. The algorithm extracts riche

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

A predominant limitation of current graph sampling approaches is their inability to reliably process multiband graph signals with unknown spectral support. In this paper, we present a minimal graph sa

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Dueling bandit algorithms excel in learning from pairwise comparisons, offering robust performance guarantees in benign environments. However, recent evidence suggests that even state-of-the-art metho

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Zak-transform-based orthogonal time frequency space (Zak-OTFS) modulation provides a delay-Doppler (DD) domain framework for integrated sensing and communication (ISAC) in high-mobility scenarios. Sin