Fast convex optimization method for frequency estimation with prior knowledge in all dimensions

This paper investigates the frequency estimation problem in all dimensions within the recent gridless-sparse-method framework. The frequencies of interest are assumed to follow a prior probability distribution. To effectively and efficiently exploit the prior knowledge, a weighted atomic norm approa...

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Bibliographic Details
Main Authors: Yang, Zai, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141965
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Institution: Nanyang Technological University
Language: English