6 papers
Joint Source-Environment Adaptation for Deep Learning-Based Underwater Acoustic Source Ranging
Dariush Kari, Andrew C. Singer
In this paper, we propose a method to adapt a pre-trained deep-learning-based model for underwater acoustic localization to a new environment. We use unsupervised domain adaptation…
Mismatch-Robust Underwater Acoustic Localization Using A Differentiable Modular Forward Model
Dariush Kari, Yongjie Zhuang, Andrew C. Singer
In this paper, we study the underwater acoustic localization in the presence of environmental mismatch. Especially, we exploit a pre-trained neural network for the acoustic wave pr…
Joint Source-Environment Adaptation of Data-Driven Underwater Acoustic Source Ranging Based on Model Uncertainty
Dariush Kari, Hari Vishnu, Andrew C. Singer
Adapting pre-trained deep learning models to new and unknown environments remains a major challenge in underwater acoustic localization. We show that although the performance of pr…
Adaptive and Efficient Nonlinear Channel Equalization for Underwater Acoustic Communication
Dariush Kari, Nuri Denizcan Vanli, Suleyman Serdar Kozat
We investigate underwater acoustic (UWA) channel equalization and introduce hierarchical and adaptive nonlinear channel equalization algorithms that are highly efficient and provid…
A Novel Family of Boosted Online Regression Algorithms with Strong Theoretical Bounds
Dariush Kari, Farhan Khan, Selami Ciftci +1
We investigate boosted online regression and propose a novel family of regression algorithms with strong theoretical bounds. In addition, we implement several variants of the propo…
A new robust adaptive algorithm for underwater acoustic channel equalization
Dariush Kari, Muhammed Omer Sayin, Suleyman Serdar Kozat
We introduce a novel family of adaptive robust equalizers for highly challenging underwater acoustic (UWA) channel equalization. Since the underwater environment is highly non-stat…