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Fast frequency estimation with prior information

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journal contribution
posted on 2025-05-09, 14:54 authored by Kaushik Mahata, Md Mashud Hyder
A fast gridless method for sparse frequency estimation in the presence of prior information is presented. It allows arbitrarily sampled data and has a significantly smaller complexity than the existing gridless sparse recovery methods. The proposed method achieves good frequency estimation accuracy and resolution performance in numerical simulations. It is also useful where no prior knowledge is available.

Funding

ARC

LP150100757

History

Journal title

IEEE Transactions on Signal Processing

Volume

66

Issue

1

Pagination

264-273

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Rights statement

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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