collaborators

6 papers

eess.SP2026

Underwater Acoustic Channel Library

Zhengnan Li, Mandar Chitre, Diego A. Cuji +4

The development of communication systems critically depends on realistic channel models, yet there are no widely accepted standards in the underwater acoustic communications commun…

eess.SP2026

Universal adaptive beamforming: A Bayesian approach

Diego A. Cuji, Andrew C. Singer, John R. Buck

We present a Bayesian universal beamforming framework for adaptive array processing in dynamic underwater acoustic environments with unknown and time-varying propagation geometry.…

eess.SP2026

Time Segmented Beamforming via Dynamic Programming: Theory and Implementation

Manan Mittal, Ryan M. Corey, Diego Cuji +2

In dynamic acoustic environments with time-varying interferers, effective beamforming requires identifying stationary regions over time. The Capon beamformer, a whitened matched fi…

cs.SD2026

Online Segmented Beamforming via Dynamic Programming

Manan Mittal, Ryan M. Corey, Diego Cuji +2

In dynamic acoustic environments characterized by time-varying interferers and moving sources, effective beamforming requires accurately identifying stationary regions over time. T…

eess.AS2026

A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models

Ningyuan Yang, Yize Li, Diego A. Cuji +4

Audio super-resolution (SR), also referred to as bandwidth extension (BWE), aims to reconstruct high-fidelity signals from low-resolution (LR) or band-limited (BL) observations, an…

eess.SP2026

Transmit Beamforming for High-Rate Underwater Acoustic Communications

Diego A. Cuji, Andrew C. Singer, Milica Stojanovic

Transmit beamforming for underwater acoustic communications is challenging because channel state information must be obtained through feedback and may be noisy or outdated. In this…