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eess.SP2026

Homomorphic Directional Beamforming with Analog True Time Delay Arrays

Ibrahim Pehlivan, Danijela Cabric

Recently, true-time-delay (TTD) arrays, also referred to as joint phase-time arrays (JPTA), have been investigated for low-cost frequency-dependent beamforming capabilities to enab…

eess.SP2026

The Radon Transform, True Time Delay Beamforming, and Ultra-Wideband Antenna Arrays (Invited Paper)

Tyler Ikehara, Ibrahim Pehlivan, Danijela Cabric +1

The FR3 band has emerged as the major focus of 6G wireless research. FR3 cellular operation presents the challenge of extreme bandwidth combined with physically large antenna array…

eess.SP2026

Sparse Bayesian Learning Algorithms Revisited: From Learning Majorizers to Structured Algorithmic Learning using Neural Networks

Rushabha Balaji, Kuan-Lin Chen, Danijela Cabric +1

Sparse Bayesian Learning is one of the most popular sparse signal recovery methods, and various algorithms exist under the SBL paradigm. However, given a performance metric and a s…

eess.SP2025

Millimeter-Wave True-Time Delay Array Beamforming with Robustness to Mobility

Benjamin W. Domae, Ibrahim Pehlivan, Danijela Cabric

Ultra-reliable and low-latency connectivity is required for real-time and latency-sensitive applications, like wireless augmented and virtual reality streaming. Millimeter-wave (mm…

eess.SP2024

A Coordinate Descent Approach to Atomic Norm Denoising

Ruifu Li, Danijela Cabric

Atomic norm minimization is of great interest in various applications of sparse signal processing including super-resolution line-spectral estimation and signal denoising. In pract…