On gridless sparse methods for line spectral estimation from complete and incomplete data

• Main Authors: Yang, Zai, Xie, Lihua
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2015
• 主題: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• 在線閱讀: https://hdl.handle.net/10356/79346; http://hdl.handle.net/10220/38517
• 機構: Nanyang Technological University

This paper is concerned about sparse, continuous frequency estimation in line spectral estimation, and focused on developing gridless sparse methods which overcome grid mismatches and correspond to limiting scenarios of existing grid-based approaches, e.g., ℓ1 optimization and SPICE, with an infinit...