Can I read Low-Complexity Algorithms for Multichannel Spectral Super-Resolution on EtoBox?

Low-Complexity Algorithms for Multichannel Spectral Super-Resolution by Wu, Xunmeng; Yang, Zai; Xu, Zongben is a scholarly article available to read on EtoBox.

What is Low-Complexity Algorithms for Multichannel Spectral Super-Resolution about?

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.

Author

Wu, Xunmeng; Yang, Zai; Xu, Zongben

Published

2024

Language

EN