@inproceedings{e3a5c44b9b024d2aa3edb9a025cf0777,
title = "Low-Complexity Algorithms for Multichannel Spectral Super-Resolution",
abstract = "This paper studies the problem of multichannel spectral super-resolution with either constant amplitude (CA) or not. We propose two optimization problems based on low-rank Hankel-Toeplitz matrix factorization. The two problems effectively leverage the multichannel and CA structures, while also enabling the design of low-complexity gradient descent algorithms for their solutions. Extensive simulations show the superior performance of the proposed algorithms.",
keywords = "Hankel-Toeplitz matrix, Multiple measurements vectors, constant amplitude",
author = "Xunmeng Wu and Zai Yang and Zongben Xu",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025 ; Conference date: 06-04-2025 Through 11-04-2025",
year = "2025",
doi = "10.1109/ICASSPW65056.2025.11011075",
language = "英语",
series = "2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025 - Workshop Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025 - Workshop Proceedings",
}