| Experimental results with HF underwater acoustic modem for high bandwidth applications J Younce, A Singer, T Riedl, B Landry, A Bean, T Arikan 2015 49th Asilomar conference on signals, systems and computers, 248-252, 2015 | 21 | 2015 |
| A semi-blind method for localization of underwater acoustic sources A Weiss, T Arikan, H Vishnu, GB Deane, AC Singer, GW Wornell IEEE Transactions on Signal Processing 70, 3090-3106, 2022 | 19 | 2022 |
| Comparison of OFDM and single-carrier schemes for Doppler tolerant acoustic communications T Arikan, T Riedl, A Singer, J Younce OCEANS 2015-Genova, 1-7, 2015 | 18 | 2015 |
| Receiver designs for low-latency HF communications T Arikan, AC Singer IEEE Transactions on Wireless Communications 20 (5), 3005-3015, 2020 | 8 | 2020 |
| Direct localization in underwater acoustics via convolutional neural networks: A data-driven approach A Weiss, T Arikan, GW Wornell 2022 IEEE 32nd International Workshop on Machine Learning for Signal …, 2022 | 2 | 2022 |
| Learning Environmental Structure Using Acoustic Probes with a Deep Neural Network T Arikan, A Weiss, H Vishnu, G Deane, A Singer, G Wornell ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| An architecture for passive joint localization and structure learning in reverberant environments T Arikan, A Weiss, H Vishnu, GB Deane, AC Singer, GW Wornell The Journal of the Acoustical Society of America 153 (1), 665-677, 2023 | 1 | 2023 |
| An architecture for passive joint localization and environment learning in shallow-water underwater acoustic settings T Arikan, A Weiss, H Vishnu, GB Deane, AC Singer, G Wornell The Journal of the Acoustical Society of America 153 (3_supplement), A375-A375, 2023 | | 2023 |
| Data-Driven Localization and Structure Learning in Reverberant Underwater Acoustic Environments T Arikan Massachusetts Institute of Technology, 2023 | | 2023 |
| Minimum-delay HF communications T Arikan University of Illinois at Urbana-Champaign, 2017 | | 2017 |
| Doppler-Based Ultrasonic Blood Velocity Estimation T Arikan | | 2014 |
| Improving the ERM Algorithm Through Density-Ratio Estimation T Arikan | | |
Andrew C. SingerDean, College of Engineering and Applied Sciences, Stony Brook University在 stonybrook.edu 的电子邮件经过验证
