5 papers
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.…
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…
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…
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communications is challenging because channel state information must be obtained through feedback and may be noisy or outdated.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…
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…