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