Referenced Items are not available for this document.
In this note, we show that the iterative frequency estimation technique proposed in is nothing but an approximate Gauss-Newton (GN) algorithm for minimizing the standard nonlinear least squares fitting criterion. Starting from the complex sinusoidal data model used in , we derive the GN algorithm for frequency estimation and show that by approximating some steps in the GN algorithm we arrive at the estimator proposed in . We then numerically compare the performances of GN and approximate GN algorithms with that of zero padded FFT.
Published in:
Signal Processing Letters, IEEE
(Volume:17
,
Issue:
12
)
Date of Publication: Dec. 2010
- Page(s):
- 1022 - 1023
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 11636553
- Digital Object Identifier :
- 10.1109/LSP.2010.2082526
- Product Type:
- Journals & Magazines
- Date of Publication :
- 14 October 2010
- Date of Current Version :
- 09 November 2010
- Issue Date :
- Dec. 2010
- Sponsored by :
- IEEE Signal Processing Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
