Signal Communication

1. Satellite Communication (3 papers)

H. Jung, J. Kang, T.Lee, S. Kim, K. Kim, “An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems”, Transactions on Aerospace and Electronic Systems, Volume 54, No. 5, pages 2318-2328, 2018.

T. Lee “Analysis of DS-CDMA Receivers using the Robust PCA against Multi-Tone Jamming for LMS Channels”, PhD thesis, Gwangju Institute of Science and Technology, 2017.

T. Lee, J. Kang, S. Yoo, B Nguyen, K. Kim, “Anti-Jamming CDMA Receiver Design for Land-Mobile Satellite Channels  Exploiting Low-Dimensionality”, pages 506-507, 2016.


2. Robot Control Communication (1 paper)

C. Lin, L. Sun, M. Tomizuka, “Robust Principal Component Analysis for Iterative Learning Control of Precision Motion Systems with Non-repetitive Disturbances”, American Control Conference, ACC 2015, July 2015.


3. Communication Efficiency (7 papers)

S. Nayer, N. Vaswani, “Fast and sample-efficient federated low rank matrix recovery from column-wise linear and quadratic projections”, IEEE Transactions on Information Theory, Volume 69, Issue 2, pages 1177-1202, 2022.

S. Moothedath, N. Vaswani, “Dec-AltProjGDmin: Fully-Decentralized Alternating Projected Gradient Descent for Low Rank Column-wise Compressive Sensing”, IEEE  Conference on Decision and Control, CDC 2022, pages 1648-1653, 2022.

S. Moothedath, N. Vaswani, “Fully decentralized and federated low rank compressive sensing”, American Control Conference, ACC 2022, pages 1491-1496, 2022.

S. Moothedath, N. Vaswani, “Fast, communication-efficient, and provable decentralized low rank matrix recovery”, Preprint 2022.

S. Moothedath, N. Vaswani, “Comparing Decentralized Gradient Descent Approaches and Guarantees”, IEEE ICASSP 2023, 2023.

S. Moothedath, N. Vaswani, “Decentralized Low Rank Matrix Recovery from Column-Wise Projections by Alternating GD and Minimization”, IEEE ICASSP 2024, 2024.

N. Vaswani, “Efficient Federated Low Rank Matrix Recovery via Alternating GD and Minimization: A Simple Proof”, IEEE Transactions on Information Theory, 2024.