@inbook{4f110c6bed914e57b6746475385e1529,
title = "Low-Rank Beamforming",
abstract = "Nature is usually low rank! This means that there is nonnegligible redundancy in the observations. So, it is important to be able to translate this idea into equations in order to make things work better in practice. In this chapter, we discuss this concept and explain how it can be applied to beamforming. Then, we derive a large class of low-rank fixed and adaptive beamformers.",
keywords = "Kronecker product decomposition, Low-rank beamforming, Optimal beamformer",
author = "Jacob Benesty and Gongping Huang and Jingdong Chen and Ningning Pan",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2024",
doi = "10.1007/978-3-031-36974-2_5",
language = "英语",
series = "Springer Topics in Signal Processing",
publisher = "Springer Science and Business Media B.V.",
pages = "87--111",
booktitle = "Springer Topics in Signal Processing",
}